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speaker-diarization-3.1

Automatic Speech Recognition
pyannote.audio
pyannote
pyannote-audio-pipeline
audio
voice
speech
speaker
speaker-diarization
speaker-change-detection
voice-activity-detection
overlapped-speech-detection
Inference Endpoints
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  1. README.md +148 -0
  2. config.yaml +19 -0
  3. handler.py +58 -0
  4. reproducible_research/AISHELL.SpeakerDiarization.Benchmark.test.eval +24 -0
  5. reproducible_research/AISHELL.SpeakerDiarization.Benchmark.test.rttm +0 -0
  6. reproducible_research/AMI-SDM.SpeakerDiarization.Benchmark.test.eval +20 -0
  7. reproducible_research/AMI-SDM.SpeakerDiarization.Benchmark.test.rttm +0 -0
  8. reproducible_research/AMI.SpeakerDiarization.Benchmark.test.eval +20 -0
  9. reproducible_research/AMI.SpeakerDiarization.Benchmark.test.rttm +0 -0
  10. reproducible_research/AVA-AVD.SpeakerDiarization.Benchmark.test.eval +58 -0
  11. reproducible_research/AVA-AVD.SpeakerDiarization.Benchmark.test.rttm +0 -0
  12. reproducible_research/AliMeeting.SpeakerDiarization.Benchmark.test.eval +24 -0
  13. reproducible_research/AliMeeting.SpeakerDiarization.Benchmark.test.rttm +0 -0
  14. reproducible_research/DIHARD.SpeakerDiarization.Benchmark.test.eval +263 -0
  15. reproducible_research/DIHARD.SpeakerDiarization.Benchmark.test.rttm +0 -0
  16. reproducible_research/MSDWILD.SpeakerDiarization.Benchmark.test.eval +494 -0
  17. reproducible_research/MSDWILD.SpeakerDiarization.Benchmark.test.rttm +0 -0
  18. reproducible_research/REPERE.SpeakerDiarization.Benchmark.test.eval +65 -0
  19. reproducible_research/REPERE.SpeakerDiarization.Benchmark.test.rttm +0 -0
  20. reproducible_research/VoxConverse.SpeakerDiarization.Benchmark.test.eval +236 -0
  21. reproducible_research/VoxConverse.SpeakerDiarization.Benchmark.test.rttm +0 -0
  22. requirements.txt +1 -0
README.md ADDED
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+ ---
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+ tags:
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+ - pyannote
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+ - pyannote-audio
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+ - pyannote-audio-pipeline
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+ - audio
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+ - voice
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+ - speech
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+ - speaker
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+ - speaker-diarization
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+ - speaker-change-detection
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+ - voice-activity-detection
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+ - overlapped-speech-detection
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+ - automatic-speech-recognition
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+ license: mit
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+ extra_gated_prompt: "The collected information will help acquire a better knowledge of pyannote.audio userbase and help its maintainers improve it further. Though this pipeline uses MIT license and will always remain open-source, we will occasionnally email you about premium pipelines and paid services around pyannote."
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+ extra_gated_fields:
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+ Company/university: text
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+ Website: text
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+ ---
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+
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+ Using this open-source model in production?
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+ Consider switching to [pyannoteAI](https://www.pyannote.ai) for better and faster options.
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+
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+ # 🎹 Speaker diarization 3.1
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+
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+ This pipeline is the same as [`pyannote/speaker-diarization-3.0`](https://hf.co/pyannote/speaker-diarization-3.1) except it removes the [problematic](https://github.com/pyannote/pyannote-audio/issues/1537) use of `onnxruntime`.
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+ Both speaker segmentation and embedding now run in pure PyTorch. This should ease deployment and possibly speed up inference.
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+ It requires pyannote.audio version 3.1 or higher.
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+
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+ It ingests mono audio sampled at 16kHz and outputs speaker diarization as an [`Annotation`](http://pyannote.github.io/pyannote-core/structure.html#annotation) instance:
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+
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+ - stereo or multi-channel audio files are automatically downmixed to mono by averaging the channels.
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+ - audio files sampled at a different rate are resampled to 16kHz automatically upon loading.
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+
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+ ## Requirements
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+
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+ 1. Install [`pyannote.audio`](https://github.com/pyannote/pyannote-audio) `3.1` with `pip install pyannote.audio`
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+ 2. Accept [`pyannote/segmentation-3.0`](https://hf.co/pyannote/segmentation-3.0) user conditions
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+ 3. Accept [`pyannote/speaker-diarization-3.1`](https://hf.co/pyannote/speaker-diarization-3.1) user conditions
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+ 4. Create access token at [`hf.co/settings/tokens`](https://hf.co/settings/tokens).
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+
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+ ## Usage
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+
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+ ```python
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+ # instantiate the pipeline
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+ from pyannote.audio import Pipeline
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+ pipeline = Pipeline.from_pretrained(
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+ "pyannote/speaker-diarization-3.1",
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+ use_auth_token="HUGGINGFACE_ACCESS_TOKEN_GOES_HERE")
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+
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+ # run the pipeline on an audio file
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+ diarization = pipeline("audio.wav")
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+
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+ # dump the diarization output to disk using RTTM format
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+ with open("audio.rttm", "w") as rttm:
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+ diarization.write_rttm(rttm)
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+ ```
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+
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+ ### Processing on GPU
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+
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+ `pyannote.audio` pipelines run on CPU by default.
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+ You can send them to GPU with the following lines:
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+
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+ ```python
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+ import torch
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+ pipeline.to(torch.device("cuda"))
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+ ```
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+
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+ ### Processing from memory
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+
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+ Pre-loading audio files in memory may result in faster processing:
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+
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+ ```python
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+ waveform, sample_rate = torchaudio.load("audio.wav")
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+ diarization = pipeline({"waveform": waveform, "sample_rate": sample_rate})
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+ ```
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+
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+ ### Monitoring progress
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+
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+ Hooks are available to monitor the progress of the pipeline:
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+
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+ ```python
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+ from pyannote.audio.pipelines.utils.hook import ProgressHook
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+ with ProgressHook() as hook:
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+ diarization = pipeline("audio.wav", hook=hook)
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+ ```
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+
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+ ### Controlling the number of speakers
90
+
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+ In case the number of speakers is known in advance, one can use the `num_speakers` option:
92
+
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+ ```python
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+ diarization = pipeline("audio.wav", num_speakers=2)
95
+ ```
96
+
97
+ One can also provide lower and/or upper bounds on the number of speakers using `min_speakers` and `max_speakers` options:
98
+
99
+ ```python
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+ diarization = pipeline("audio.wav", min_speakers=2, max_speakers=5)
101
+ ```
102
+
103
+ ## Benchmark
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+
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+ This pipeline has been benchmarked on a large collection of datasets.
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+
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+ Processing is fully automatic:
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+
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+ - no manual voice activity detection (as is sometimes the case in the literature)
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+ - no manual number of speakers (though it is possible to provide it to the pipeline)
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+ - no fine-tuning of the internal models nor tuning of the pipeline hyper-parameters to each dataset
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+
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+ ... with the least forgiving diarization error rate (DER) setup (named _"Full"_ in [this paper](https://doi.org/10.1016/j.csl.2021.101254)):
114
+
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+ - no forgiveness collar
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+ - evaluation of overlapped speech
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+
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+ | Benchmark | [DER%](. "Diarization error rate") | [FA%](. "False alarm rate") | [Miss%](. "Missed detection rate") | [Conf%](. "Speaker confusion rate") | Expected output | File-level evaluation |
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+ | ------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------- | --------------------------- | ---------------------------------- | ----------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------- |
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+ | [AISHELL-4](http://www.openslr.org/111/) | 12.2 | 3.8 | 4.4 | 4.0 | [RTTM](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/AISHELL.SpeakerDiarization.Benchmark.test.rttm) | [eval](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/AISHELL.SpeakerDiarization.Benchmark.test.eval) |
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+ | [AliMeeting (_channel 1_)](https://www.openslr.org/119/) | 24.4 | 4.4 | 10.0 | 10.0 | [RTTM](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/AliMeeting.SpeakerDiarization.Benchmark.test.rttm) | [eval](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/AliMeeting.SpeakerDiarization.Benchmark.test.eval) |
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+ | [AMI (_headset mix,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words_)](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | 18.8 | 3.6 | 9.5 | 5.7 | [RTTM](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/AMI.SpeakerDiarization.Benchmark.test.rttm) | [eval](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/AMI.SpeakerDiarization.Benchmark.test.eval) |
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+ | [AMI (_array1, channel 1,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words)_](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | 22.4 | 3.8 | 11.2 | 7.5 | [RTTM](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/AMI-SDM.SpeakerDiarization.Benchmark.test.rttm) | [eval](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/AMI-SDM.SpeakerDiarization.Benchmark.test.eval) |
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+ | [AVA-AVD](https://arxiv.org/abs/2111.14448) | 50.0 | 10.8 | 15.7 | 23.4 | [RTTM](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/AVA-AVD.SpeakerDiarization.Benchmark.test.rttm) | [eval](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/AVA-AVD.SpeakerDiarization.Benchmark.test.eval) |
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+ | [DIHARD 3 (_Full_)](https://arxiv.org/abs/2012.01477) | 21.7 | 6.2 | 8.1 | 7.3 | [RTTM](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/DIHARD.SpeakerDiarization.Benchmark.test.rttm) | [eval](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/DIHARD.SpeakerDiarization.Benchmark.test.eval) |
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+ | [MSDWild](https://x-lance.github.io/MSDWILD/) | 25.3 | 5.8 | 8.0 | 11.5 | [RTTM](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/MSDWILD.SpeakerDiarization.Benchmark.test.rttm) | [eval](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/MSDWILD.SpeakerDiarization.Benchmark.test.eval) |
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+ | [REPERE (_phase 2_)](https://islrn.org/resources/360-758-359-485-0/) | 7.8 | 1.8 | 2.6 | 3.5 | [RTTM](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/REPERE.SpeakerDiarization.Benchmark.test.rttm) | [eval](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/REPERE.SpeakerDiarization.Benchmark.test.eval) |
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+ | [VoxConverse (_v0.3_)](https://github.com/joonson/voxconverse) | 11.3 | 4.1 | 3.4 | 3.8 | [RTTM](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/VoxConverse.SpeakerDiarization.Benchmark.test.rttm) | [eval](https://huggingface.co/pyannote/speaker-diarization-3.1/blob/main/reproducible_research/VoxConverse.SpeakerDiarization.Benchmark.test.eval) |
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+
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+ ## Citations
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+
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+ ```bibtex
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+ @inproceedings{Plaquet23,
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+ author={Alexis Plaquet and Hervé Bredin},
135
+ title={{Powerset multi-class cross entropy loss for neural speaker diarization}},
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+ year=2023,
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+ booktitle={Proc. INTERSPEECH 2023},
138
+ }
139
+ ```
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+
141
+ ```bibtex
142
+ @inproceedings{Bredin23,
143
+ author={Hervé Bredin},
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+ title={{pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe}},
145
+ year=2023,
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+ booktitle={Proc. INTERSPEECH 2023},
147
+ }
148
+ ```
config.yaml ADDED
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+ version: 3.1.0
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+
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+ pipeline:
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+ name: pyannote.audio.pipelines.SpeakerDiarization
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+ params:
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+ clustering: AgglomerativeClustering
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+ embedding: pyannote/wespeaker-voxceleb-resnet34-LM
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+ embedding_batch_size: 32
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+ embedding_exclude_overlap: true
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+ segmentation: pyannote/segmentation-3.0
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+ segmentation_batch_size: 32
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+
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+ params:
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+ clustering:
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+ method: centroid
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+ min_cluster_size: 12
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+ threshold: 0.7045654963945799
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+ segmentation:
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+ min_duration_off: 0.0
handler.py ADDED
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+ # MIT License
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+ #
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+ # Copyright (c) 2023 CNRS
4
+ #
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+ # Permission is hereby granted, free of charge, to any person obtaining a copy
6
+ # of this software and associated documentation files (the "Software"), to deal
7
+ # in the Software without restriction, including without limitation the rights
8
+ # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9
+ # copies of the Software, and to permit persons to whom the Software is
10
+ # furnished to do so, subject to the following conditions:
11
+ #
12
+ # The above copyright notice and this permission notice shall be included in all
13
+ # copies or substantial portions of the Software.
14
+ #
15
+ # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16
+ # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17
+ # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18
+ # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19
+ # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20
+ # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21
+ # SOFTWARE.
22
+
23
+
24
+ from pyannote.audio import Pipeline, Audio
25
+ import torch
26
+
27
+
28
+ class EndpointHandler:
29
+ def __init__(self, path=""):
30
+ # initialize pretrained pipeline
31
+ self._pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization-3.1")
32
+
33
+ # send pipeline to GPU if available
34
+ if torch.cuda.is_available():
35
+ self._pipeline.to(torch.device("cuda"))
36
+
37
+ # initialize audio reader
38
+ self._io = Audio()
39
+
40
+ def __call__(self, data):
41
+ inputs = data.pop("inputs", data)
42
+ waveform, sample_rate = self._io(inputs)
43
+
44
+ parameters = data.pop("parameters", dict())
45
+ diarization = self.pipeline(
46
+ {"waveform": waveform, "sample_rate": sample_rate}, **parameters
47
+ )
48
+
49
+ processed_diarization = [
50
+ {
51
+ "speaker": speaker,
52
+ "start": f"{turn.start:.3f}",
53
+ "end": f"{turn.end:.3f}",
54
+ }
55
+ for turn, _, speaker in diarization.itertracks(yield_label=True)
56
+ ]
57
+
58
+ return {"diarization": processed_diarization}
reproducible_research/AISHELL.SpeakerDiarization.Benchmark.test.eval ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ diarization error rate total correct correct false alarm false alarm missed detection missed detection confusion confusion
2
+ % % % % %
3
+ item
4
+ L_R003S01C02 15.87 2311.97 2084.06 90.14 139.05 6.01 105.81 4.58 122.10 5.28
5
+ L_R003S02C02 10.82 2036.79 1887.47 92.67 70.99 3.49 77.45 3.80 71.86 3.53
6
+ L_R003S03C02 15.90 2376.45 2077.65 87.43 79.11 3.33 159.77 6.72 139.03 5.85
7
+ L_R003S04C02 12.79 2011.85 1852.72 92.09 98.14 4.88 87.56 4.35 71.56 3.56
8
+ L_R004S01C01 6.94 2041.84 1970.39 96.50 70.27 3.44 43.87 2.15 27.59 1.35
9
+ L_R004S02C01 14.20 2204.89 1986.05 90.07 94.23 4.27 55.05 2.50 163.80 7.43
10
+ L_R004S03C01 12.23 2314.18 2124.12 91.79 92.88 4.01 77.57 3.35 112.49 4.86
11
+ L_R004S06C01 10.27 2029.95 1852.36 91.25 30.98 1.53 55.64 2.74 121.95 6.01
12
+ M_R003S01C01 13.86 2191.47 1991.32 90.87 103.63 4.73 91.41 4.17 108.74 4.96
13
+ M_R003S02C01 11.76 2376.79 2152.66 90.57 55.34 2.33 143.77 6.05 80.36 3.38
14
+ M_R003S04C01 19.70 2015.63 1844.76 91.52 226.21 11.22 56.70 2.81 114.17 5.66
15
+ M_R003S05C01 17.53 2249.68 2036.62 90.53 181.23 8.06 91.10 4.05 121.96 5.42
16
+ S_R003S01C01 13.18 2127.86 1939.20 91.13 91.75 4.31 88.98 4.18 99.68 4.68
17
+ S_R003S02C01 14.48 2222.87 1951.87 87.81 50.97 2.29 203.61 9.16 67.40 3.03
18
+ S_R003S03C01 13.50 2071.12 1878.54 90.70 87.00 4.20 126.76 6.12 65.82 3.18
19
+ S_R003S04C01 17.80 2615.78 2218.78 84.82 68.58 2.62 236.48 9.04 160.52 6.14
20
+ S_R004S01C01 6.54 2117.91 2006.87 94.76 27.47 1.30 91.18 4.31 19.85 0.94
21
+ S_R004S02C01 5.65 2095.08 2011.05 95.99 34.24 1.63 55.20 2.63 28.83 1.38
22
+ S_R004S03C01 3.57 2074.39 2013.11 97.05 12.78 0.62 57.63 2.78 3.65 0.18
23
+ S_R004S04C01 4.80 2078.85 2015.15 96.94 36.14 1.74 26.12 1.26 37.58 1.81
24
+ TOTAL 12.22 43565.36 39894.74 91.57 1650.99 3.79 1931.69 4.43 1738.93 3.99
reproducible_research/AISHELL.SpeakerDiarization.Benchmark.test.rttm ADDED
The diff for this file is too large to render. See raw diff
 
reproducible_research/AMI-SDM.SpeakerDiarization.Benchmark.test.eval ADDED
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1
+ diarization error rate total correct correct false alarm false alarm missed detection missed detection confusion confusion
2
+ % % % % %
3
+ item
4
+ IS1009a 23.01 695.90 585.24 84.10 49.44 7.10 52.69 7.57 57.96 8.33
5
+ IS1009b 14.64 1982.97 1758.05 88.66 65.36 3.30 117.11 5.91 107.81 5.44
6
+ IS1009c 11.12 1584.45 1466.08 92.53 57.82 3.65 75.78 4.78 42.58 2.69
7
+ IS1009d 20.85 1738.60 1462.50 84.12 86.46 4.97 131.90 7.59 144.20 8.29
8
+ ES2004a 28.67 923.43 700.32 75.84 41.64 4.51 151.62 16.42 71.49 7.74
9
+ ES2004b 17.10 2233.05 1948.90 87.28 97.59 4.37 172.71 7.73 111.45 4.99
10
+ ES2004c 14.94 2244.47 2010.02 89.55 100.87 4.49 138.31 6.16 96.14 4.28
11
+ ES2004d 22.08 2006.77 1662.52 82.85 98.80 4.92 217.15 10.82 127.10 6.33
12
+ TS3003a 24.61 1025.96 804.16 78.38 30.65 2.99 163.27 15.91 58.53 5.71
13
+ TS3003b 13.73 1820.50 1653.88 90.85 83.31 4.58 107.23 5.89 59.39 3.26
14
+ TS3003c 18.50 1894.25 1608.82 84.93 64.98 3.43 198.02 10.45 87.41 4.61
15
+ TS3003d 25.39 2070.34 1618.47 78.17 73.70 3.56 330.54 15.97 121.33 5.86
16
+ EN2002a 28.71 2530.26 1873.17 74.03 69.31 2.74 365.40 14.44 291.69 11.53
17
+ EN2002b 28.02 1943.44 1479.59 76.13 80.69 4.15 268.98 13.84 194.86 10.03
18
+ EN2002c 26.92 3343.64 2529.93 75.66 86.43 2.58 501.02 14.98 312.69 9.35
19
+ EN2002d 34.77 2675.89 1825.88 68.23 80.30 3.00 441.18 16.49 408.83 15.28
20
+ TOTAL 22.44 30713.92 24987.54 81.36 1167.35 3.80 3432.93 11.18 2293.46 7.47
reproducible_research/AMI-SDM.SpeakerDiarization.Benchmark.test.rttm ADDED
The diff for this file is too large to render. See raw diff
 
reproducible_research/AMI.SpeakerDiarization.Benchmark.test.eval ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ diarization error rate total correct correct false alarm false alarm missed detection missed detection confusion confusion
2
+ % % % % %
3
+ item
4
+ IS1009a 20.14 695.90 594.29 85.40 38.56 5.54 59.54 8.56 42.08 6.05
5
+ IS1009b 14.75 1982.97 1747.25 88.11 56.80 2.86 140.04 7.06 95.68 4.83
6
+ IS1009c 11.04 1584.45 1462.91 92.33 53.38 3.37 74.47 4.70 47.07 2.97
7
+ IS1009d 17.45 1738.60 1510.74 86.89 75.52 4.34 130.18 7.49 97.68 5.62
8
+ ES2004a 19.38 923.43 774.00 83.82 29.53 3.20 114.62 12.41 34.80 3.77
9
+ ES2004b 12.24 2233.05 2037.45 91.24 77.81 3.48 140.41 6.29 55.19 2.47
10
+ ES2004c 12.64 2244.47 2066.11 92.05 105.29 4.69 117.93 5.25 60.44 2.69
11
+ ES2004d 19.26 2006.77 1719.02 85.66 98.70 4.92 172.51 8.60 115.24 5.74
12
+ TS3003a 18.34 1025.96 866.67 84.47 28.87 2.81 118.30 11.53 40.99 4.00
13
+ TS3003b 11.81 1820.50 1703.95 93.60 98.44 5.41 84.31 4.63 32.24 1.77
14
+ TS3003c 13.01 1894.25 1727.77 91.21 79.91 4.22 142.87 7.54 23.61 1.25
15
+ TS3003d 20.53 2070.34 1741.78 84.13 96.39 4.66 246.30 11.90 82.26 3.97
16
+ EN2002a 23.89 2530.26 1998.09 78.97 72.23 2.85 338.69 13.39 193.48 7.65
17
+ EN2002b 26.56 1943.44 1489.23 76.63 62.01 3.19 220.16 11.33 234.06 12.04
18
+ EN2002c 23.34 3343.64 2600.33 77.77 37.23 1.11 442.87 13.25 300.44 8.99
19
+ EN2002d 28.54 2675.89 1996.79 74.62 84.51 3.16 384.51 14.37 294.58 11.01
20
+ TOTAL 18.80 30713.92 26036.38 84.77 1095.18 3.57 2927.71 9.53 1749.84 5.70
reproducible_research/AMI.SpeakerDiarization.Benchmark.test.rttm ADDED
The diff for this file is too large to render. See raw diff
 
reproducible_research/AVA-AVD.SpeakerDiarization.Benchmark.test.eval ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ diarization error rate total correct correct false alarm false alarm missed detection missed detection confusion confusion
2
+ % % % % %
3
+ item
4
+ 1j20qq1JyX4_c_01 59.26 155.05 78.81 50.83 15.64 10.09 35.31 22.78 40.92 26.39
5
+ 1j20qq1JyX4_c_02 69.93 227.81 84.79 37.22 16.30 7.15 55.64 24.42 87.38 38.36
6
+ 1j20qq1JyX4_c_03 46.28 197.26 123.59 62.66 17.62 8.93 50.88 25.80 22.78 11.55
7
+ 2qQs3Y9OJX0_c_01 61.11 89.26 60.91 68.24 26.20 29.36 2.67 3.00 25.67 28.76
8
+ 2qQs3Y9OJX0_c_02 60.04 116.06 74.09 63.84 27.72 23.88 2.25 1.94 39.72 34.23
9
+ 2qQs3Y9OJX0_c_03 47.39 147.43 104.88 71.14 27.32 18.53 7.99 5.42 34.56 23.44
10
+ 4ZpjKfu6Cl8_c_01 90.24 141.60 40.26 28.43 26.44 18.67 42.91 30.30 58.43 41.26
11
+ 4ZpjKfu6Cl8_c_02 59.63 154.92 92.59 59.77 30.05 19.40 12.49 8.06 49.84 32.17
12
+ 4ZpjKfu6Cl8_c_03 61.83 112.29 67.23 59.87 24.36 21.70 3.96 3.52 41.11 36.61
13
+ 5milLu-6bWI_c_01 35.09 174.41 125.22 71.80 12.02 6.89 22.92 13.14 26.27 15.06
14
+ 5milLu-6bWI_c_02 41.13 217.06 148.14 68.25 20.35 9.38 28.34 13.06 40.58 18.69
15
+ 5milLu-6bWI_c_03 46.57 221.49 154.18 69.61 35.84 16.18 15.41 6.96 51.90 23.43
16
+ 7YpF6DntOYw_c_01 70.33 132.86 51.61 38.84 12.19 9.17 40.08 30.16 41.18 30.99
17
+ 7YpF6DntOYw_c_02 69.12 54.12 20.61 38.08 3.90 7.20 11.88 21.96 21.62 39.96
18
+ 7YpF6DntOYw_c_03 35.51 66.24 47.24 71.32 4.53 6.84 3.63 5.48 15.36 23.19
19
+ BCiuXAuCKAU_c_01 80.03 206.56 49.24 23.84 7.99 3.87 94.24 45.62 63.08 30.54
20
+ BCiuXAuCKAU_c_02 44.53 154.10 107.70 69.89 22.21 14.41 25.30 16.42 21.10 13.70
21
+ BCiuXAuCKAU_c_03 53.40 207.37 102.58 49.47 5.95 2.87 84.91 40.95 19.87 9.58
22
+ HKjR70GCRPE_c_01 50.16 146.56 100.64 68.67 27.60 18.83 7.89 5.38 38.03 25.95
23
+ HKjR70GCRPE_c_02 55.24 145.10 100.45 69.22 35.50 24.46 7.36 5.07 37.30 25.70
24
+ HKjR70GCRPE_c_03 61.93 165.78 80.29 48.43 17.19 10.37 9.35 5.64 76.14 45.93
25
+ IKdBLciu_-A_c_01 47.99 127.60 87.16 68.31 20.80 16.30 7.44 5.83 32.99 25.85
26
+ IKdBLciu_-A_c_02 86.12 95.71 26.97 28.18 13.69 14.30 29.18 30.49 39.56 41.33
27
+ IKdBLciu_-A_c_03 71.94 98.63 35.56 36.05 7.88 7.99 38.64 39.17 24.44 24.78
28
+ KHHgQ_Pe4cI_c_01 64.37 180.62 72.46 40.12 8.10 4.49 85.62 47.40 22.55 12.48
29
+ KHHgQ_Pe4cI_c_02 81.04 119.56 30.46 25.48 7.80 6.52 44.91 37.56 44.19 36.96
30
+ KHHgQ_Pe4cI_c_03 70.60 156.28 56.54 36.18 10.59 6.77 59.65 38.17 40.09 25.65
31
+ PmElx9ZVByw_c_01 36.72 142.53 107.86 75.67 17.66 12.39 10.33 7.25 24.34 17.08
32
+ PmElx9ZVByw_c_02 12.27 147.22 135.37 91.95 6.21 4.22 10.99 7.46 0.87 0.59
33
+ PmElx9ZVByw_c_03 23.15 120.01 100.43 83.68 8.20 6.83 8.80 7.33 10.78 8.98
34
+ a5mEmM6w_ks_c_01 34.48 235.73 177.50 75.30 23.06 9.78 15.17 6.43 43.06 18.27
35
+ a5mEmM6w_ks_c_02 30.22 185.80 145.82 78.48 16.17 8.70 5.01 2.70 34.97 18.82
36
+ a5mEmM6w_ks_c_03 24.53 130.15 108.77 83.57 10.53 8.09 8.38 6.44 13.01 9.99
37
+ kMy-6RtoOVU_c_01 61.92 185.77 87.24 46.96 16.50 8.88 47.91 25.79 50.63 27.25
38
+ kMy-6RtoOVU_c_02 79.94 121.57 55.40 45.57 31.02 25.51 15.71 12.93 50.46 41.51
39
+ kMy-6RtoOVU_c_03 52.40 111.45 75.08 67.37 22.03 19.77 14.58 13.09 21.79 19.55
40
+ qrkff49p4E4_c_01 23.61 147.36 116.82 79.28 4.26 2.89 15.01 10.19 15.52 10.54
41
+ qrkff49p4E4_c_02 18.09 139.38 119.99 86.09 5.82 4.18 8.46 6.07 10.93 7.84
42
+ qrkff49p4E4_c_03 23.80 160.17 130.31 81.36 8.25 5.15 10.62 6.63 19.25 12.02
43
+ zC5Fh2tTS1U_c_01 45.89 193.38 127.43 65.90 22.79 11.79 23.44 12.12 42.51 21.98
44
+ zC5Fh2tTS1U_c_02 82.36 172.54 58.86 34.11 28.42 16.47 17.95 10.41 95.72 55.48
45
+ zC5Fh2tTS1U_c_03 71.36 240.12 106.94 44.53 38.17 15.90 61.86 25.76 71.32 29.70
46
+ zR725veL-DI_c_01 38.40 190.05 127.26 66.96 10.19 5.36 29.11 15.32 33.68 17.72
47
+ zR725veL-DI_c_02 29.73 215.43 164.78 76.49 13.41 6.22 29.55 13.72 21.09 9.79
48
+ zR725veL-DI_c_03 31.63 199.67 148.78 74.51 12.25 6.14 31.83 15.94 19.07 9.55
49
+ IzvOYVMltkI_c_01 25.12 156.71 132.67 84.66 15.32 9.78 7.94 5.07 16.10 10.27
50
+ IzvOYVMltkI_c_02 66.89 191.14 92.03 48.15 28.75 15.04 10.25 5.36 88.87 46.49
51
+ IzvOYVMltkI_c_03 33.33 172.52 146.04 84.65 31.02 17.98 2.83 1.64 23.65 13.71
52
+ UrsCy6qIGoo_c_01 28.06 122.69 94.65 77.15 6.38 5.20 8.11 6.61 19.93 16.25
53
+ UrsCy6qIGoo_c_02 55.78 125.06 63.54 50.81 8.23 6.58 9.90 7.92 51.62 41.28
54
+ UrsCy6qIGoo_c_03 37.51 197.16 133.22 67.57 10.02 5.08 11.59 5.88 52.35 26.55
55
+ yn9WN9lsHRE_c_01 40.49 188.10 125.91 66.94 13.98 7.43 30.23 16.07 31.96 16.99
56
+ yn9WN9lsHRE_c_02 44.67 156.18 94.16 60.29 7.75 4.96 51.29 32.84 10.73 6.87
57
+ yn9WN9lsHRE_c_03 57.92 196.37 104.16 53.04 21.53 10.96 20.02 10.19 72.19 36.76
58
+ TOTAL 49.96 8556.00 5205.22 60.84 923.69 10.80 1347.72 15.75 2003.06 23.41
reproducible_research/AVA-AVD.SpeakerDiarization.Benchmark.test.rttm ADDED
The diff for this file is too large to render. See raw diff
 
reproducible_research/AliMeeting.SpeakerDiarization.Benchmark.test.eval ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ diarization error rate total correct correct false alarm false alarm missed detection missed detection confusion confusion
2
+ % % % % %
3
+ item
4
+ R8006_M8012_MS803 28.28 2374.64 1905.26 80.23 202.28 8.52 212.50 8.95 256.88 10.82
5
+ R8009_M8027_MS812 10.04 1652.94 1549.19 93.72 62.24 3.77 71.89 4.35 31.86 1.93
6
+ R8004_M8005_MS803 22.99 2697.40 2184.06 80.97 106.89 3.96 228.96 8.49 284.38 10.54
7
+ R8009_M8022_MS810 10.37 2034.76 1928.40 94.77 104.69 5.15 93.73 4.61 12.64 0.62
8
+ R8005_M8007_MS806 45.58 3057.11 1756.71 57.46 92.99 3.04 562.26 18.39 738.14 24.15
9
+ R8002_M8003_MS803 42.33 2595.42 1602.39 61.74 105.51 4.07 383.73 14.78 609.30 23.48
10
+ R8008_M8017_MS808 12.67 1633.16 1502.17 91.98 75.99 4.65 96.08 5.88 34.91 2.14
11
+ R8009_M8026_MS812 9.38 1866.82 1746.81 93.57 55.08 2.95 102.31 5.48 17.70 0.95
12
+ R8005_M8008_MS806 21.17 2427.19 2023.69 83.38 110.26 4.54 179.86 7.41 223.64 9.21
13
+ R8008_M8015_MS808 20.56 1935.73 1638.95 84.67 101.23 5.23 184.84 9.55 111.94 5.78
14
+ R8009_M8024_MS811 6.50 1605.00 1550.95 96.63 50.27 3.13 48.80 3.04 5.25 0.33
15
+ R8004_M8006_MS805 38.09 3680.99 2389.70 64.92 110.66 3.01 774.08 21.03 517.21 14.05
16
+ R8009_M8025_MS811 8.18 2094.46 1980.79 94.57 57.68 2.75 78.03 3.73 35.65 1.70
17
+ R8008_M8016_MS808 48.82 1860.44 1051.85 56.54 99.66 5.36 140.51 7.55 668.08 35.91
18
+ R8002_M8002_MS802 22.38 2504.37 2032.71 81.17 88.89 3.55 254.23 10.15 217.43 8.68
19
+ R8009_M8023_MS811 12.25 1789.93 1715.61 95.85 144.88 8.09 53.34 2.98 20.99 1.17
20
+ R8009_M8028_MS812 10.76 1833.49 1757.41 95.85 121.24 6.61 67.53 3.68 8.55 0.47
21
+ R8008_M8014_MS807 15.11 2034.08 1834.85 90.21 108.16 5.32 137.04 6.74 62.19 3.06
22
+ R8005_M8009_MS802 43.00 3344.16 2021.80 60.46 115.64 3.46 718.71 21.49 603.65 18.05
23
+ R8009_M8021_MS810 9.28 1818.69 1709.73 94.01 59.73 3.28 95.90 5.27 13.06 0.72
24
+ TOTAL 24.38 44840.78 35883.01 80.02 1973.99 4.40 4484.33 10.00 4473.44 9.98
reproducible_research/AliMeeting.SpeakerDiarization.Benchmark.test.rttm ADDED
The diff for this file is too large to render. See raw diff
 
reproducible_research/DIHARD.SpeakerDiarization.Benchmark.test.eval ADDED
@@ -0,0 +1,263 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ diarization error rate total correct correct false alarm false alarm missed detection missed detection confusion confusion
2
+ % % % % %
3
+ item
4
+ DH_EVAL_0001 12.75 485.12 437.27 90.14 13.98 2.88 10.72 2.21 37.14 7.65
5
+ DH_EVAL_0002 34.65 57.09 40.88 71.60 3.57 6.26 7.71 13.50 8.51 14.90
6
+ DH_EVAL_0003 13.17 620.30 559.86 90.26 21.22 3.42 34.06 5.49 26.39 4.25
7
+ DH_EVAL_0004 21.41 332.41 277.89 83.60 16.64 5.01 18.69 5.62 35.83 10.78
8
+ DH_EVAL_0005 14.15 573.48 510.45 89.01 18.10 3.16 55.85 9.74 7.18 1.25
9
+ DH_EVAL_0006 10.60 636.34 588.36 92.46 19.45 3.06 32.27 5.07 15.71 2.47
10
+ DH_EVAL_0007 18.11 589.92 513.73 87.08 30.65 5.20 39.27 6.66 36.92 6.26
11
+ DH_EVAL_0008 10.29 602.91 557.06 92.40 16.18 2.68 23.34 3.87 22.51 3.73
12
+ DH_EVAL_0009 47.55 755.88 432.17 57.17 35.69 4.72 215.32 28.49 108.40 14.34
13
+ DH_EVAL_0010 23.01 291.89 262.48 89.92 37.75 12.93 7.18 2.46 22.23 7.61
14
+ DH_EVAL_0011 10.09 607.06 564.60 93.00 18.81 3.10 34.23 5.64 8.24 1.36
15
+ DH_EVAL_0012 11.93 592.15 536.48 90.60 15.00 2.53 35.95 6.07 19.72 3.33
16
+ DH_EVAL_0013 3.81 477.50 465.84 97.56 6.54 1.37 11.20 2.35 0.46 0.10
17
+ DH_EVAL_0014 34.84 477.45 435.96 91.31 124.84 26.15 16.04 3.36 25.45 5.33
18
+ DH_EVAL_0015 60.47 762.02 442.75 58.10 141.53 18.57 119.49 15.68 199.78 26.22
19
+ DH_EVAL_0016 17.20 540.07 481.73 89.20 34.57 6.40 48.55 8.99 9.79 1.81
20
+ DH_EVAL_0017 63.90 35.76 19.25 53.83 6.34 17.73 5.31 14.85 11.20 31.32
21
+ DH_EVAL_0018 69.63 43.45 25.60 58.93 12.41 28.57 2.34 5.39 15.50 35.67
22
+ DH_EVAL_0019 63.47 126.36 50.48 39.94 4.32 3.42 32.33 25.58 43.56 34.47
23
+ DH_EVAL_0020 56.66 37.74 25.52 67.62 9.16 24.28 3.49 9.24 8.73 23.13
24
+ DH_EVAL_0021 23.45 184.91 156.99 84.90 15.43 8.35 5.89 3.19 22.03 11.91
25
+ DH_EVAL_0022 14.16 568.52 512.49 90.14 24.45 4.30 43.18 7.59 12.85 2.26
26
+ DH_EVAL_0023 7.54 160.43 154.30 96.18 5.96 3.72 3.68 2.29 2.46 1.53
27
+ DH_EVAL_0024 28.47 199.68 164.71 82.49 21.88 10.96 9.38 4.70 25.59 12.81
28
+ DH_EVAL_0025 68.84 455.93 176.62 38.74 34.56 7.58 131.67 28.88 147.65 32.38
29
+ DH_EVAL_0026 14.81 654.77 576.60 88.06 18.80 2.87 40.08 6.12 38.10 5.82
30
+ DH_EVAL_0027 14.25 518.95 502.53 96.84 57.53 11.09 5.46 1.05 10.95 2.11
31
+ DH_EVAL_0028 15.81 583.60 521.06 89.28 29.70 5.09 34.79 5.96 27.75 4.76
32
+ DH_EVAL_0029 15.55 590.53 521.15 88.25 22.45 3.80 40.54 6.86 28.85 4.88
33
+ DH_EVAL_0030 15.62 566.56 502.35 88.67 24.27 4.28 54.66 9.65 9.55 1.68
34
+ DH_EVAL_0031 96.99 71.66 28.92 40.36 26.76 37.35 14.25 19.88 28.49 39.76
35
+ DH_EVAL_0032 8.38 657.21 616.59 93.82 14.48 2.20 29.06 4.42 11.56 1.76
36
+ DH_EVAL_0033 9.67 591.01 554.71 93.86 20.84 3.53 15.35 2.60 20.94 3.54
37
+ DH_EVAL_0034 56.84 69.69 31.13 44.66 1.05 1.50 25.25 36.23 13.31 19.10
38
+ DH_EVAL_0035 11.85 706.42 645.48 91.37 22.77 3.22 48.40 6.85 12.54 1.78
39
+ DH_EVAL_0036 40.86 580.54 372.14 64.10 28.79 4.96 31.08 5.35 177.32 30.54
40
+ DH_EVAL_0037 33.29 680.00 510.35 75.05 56.69 8.34 107.30 15.78 62.35 9.17
41
+ DH_EVAL_0038 13.25 494.15 490.02 99.16 61.32 12.41 4.13 0.84 0.00 0.00
42
+ DH_EVAL_0039 13.71 298.43 281.30 94.26 23.78 7.97 3.81 1.28 13.32 4.46
43
+ DH_EVAL_0040 3.44 457.68 445.72 97.39 3.80 0.83 11.63 2.54 0.33 0.07
44
+ DH_EVAL_0041 14.92 292.41 261.24 89.34 12.45 4.26 25.58 8.75 5.60 1.91
45
+ DH_EVAL_0042 17.23 191.80 168.93 88.08 10.17 5.30 2.92 1.52 19.94 10.40
46
+ DH_EVAL_0043 5.67 499.03 483.83 96.95 13.07 2.62 13.07 2.62 2.14 0.43
47
+ DH_EVAL_0044 44.84 815.76 494.98 60.68 45.03 5.52 162.37 19.90 158.41 19.42
48
+ DH_EVAL_0045 18.03 172.29 148.13 85.98 6.91 4.01 10.01 5.81 14.14 8.21
49
+ DH_EVAL_0046 12.29 328.89 299.29 91.00 10.83 3.29 14.50 4.41 15.09 4.59
50
+ DH_EVAL_0047 52.42 339.21 196.46 57.92 35.06 10.34 17.28 5.09 125.47 36.99
51
+ DH_EVAL_0048 13.50 567.22 506.44 89.29 15.81 2.79 38.52 6.79 22.26 3.92
52
+ DH_EVAL_0049 12.96 188.96 176.31 93.31 11.85 6.27 7.35 3.89 5.29 2.80
53
+ DH_EVAL_0050 7.63 270.79 256.97 94.90 6.83 2.52 7.17 2.65 6.66 2.46
54
+ DH_EVAL_0051 22.68 165.04 140.08 84.87 12.47 7.55 6.14 3.72 18.82 11.40
55
+ DH_EVAL_0052 13.14 313.46 285.07 90.95 12.81 4.09 20.49 6.54 7.89 2.52
56
+ DH_EVAL_0053 23.48 26.88 24.27 90.30 3.70 13.78 1.55 5.78 1.06 3.93
57
+ DH_EVAL_0054 5.87 182.73 176.52 96.60 4.52 2.47 4.62 2.53 1.59 0.87
58
+ DH_EVAL_0055 37.45 175.70 123.78 70.45 13.89 7.90 12.46 7.09 39.47 22.46
59
+ DH_EVAL_0056 42.87 635.50 456.94 71.90 93.87 14.77 100.21 15.77 78.36 12.33
60
+ DH_EVAL_0057 28.66 221.64 183.91 82.98 25.79 11.63 26.22 11.83 11.51 5.19
61
+ DH_EVAL_0058 18.57 199.27 166.54 83.57 4.28 2.15 4.16 2.09 28.57 14.34
62
+ DH_EVAL_0059 20.47 207.01 179.60 86.76 14.97 7.23 13.82 6.68 13.59 6.57
63
+ DH_EVAL_0060 31.05 187.39 143.01 76.32 13.80 7.36 7.59 4.05 36.79 19.63
64
+ DH_EVAL_0061 47.30 131.91 71.16 53.95 1.64 1.25 33.15 25.13 27.59 20.92
65
+ DH_EVAL_0062 15.40 628.11 543.05 86.46 11.67 1.86 55.13 8.78 29.94 4.77
66
+ DH_EVAL_0063 122.58 61.40 49.54 80.69 63.41 103.27 1.09 1.78 10.77 17.54
67
+ DH_EVAL_0064 21.64 281.16 233.22 82.95 12.90 4.59 24.06 8.56 23.88 8.49
68
+ DH_EVAL_0065 13.90 538.86 502.92 93.33 38.98 7.23 29.47 5.47 6.47 1.20
69
+ DH_EVAL_0066 13.93 513.98 449.81 87.52 7.44 1.45 61.49 11.96 2.68 0.52
70
+ DH_EVAL_0067 82.39 89.93 33.19 36.90 17.35 19.30 17.08 18.99 39.66 44.11
71
+ DH_EVAL_0068 9.61 602.26 565.36 93.87 21.01 3.49 28.48 4.73 8.41 1.40
72
+ DH_EVAL_0069 20.28 210.09 185.65 88.37 18.17 8.65 9.47 4.51 14.97 7.13
73
+ DH_EVAL_0070 19.55 222.35 185.65 83.49 6.77 3.04 5.91 2.66 30.79 13.85
74
+ DH_EVAL_0071 11.11 556.11 532.47 95.75 38.13 6.86 8.54 1.54 15.10 2.72
75
+ DH_EVAL_0072 10.76 449.80 418.82 93.11 17.40 3.87 17.39 3.87 13.59 3.02
76
+ DH_EVAL_0073 16.03 174.24 148.03 84.96 1.72 0.99 21.21 12.17 5.00 2.87
77
+ DH_EVAL_0074 22.08 209.73 176.30 84.06 12.88 6.14 21.57 10.29 11.86 5.65
78
+ DH_EVAL_0075 8.19 158.31 152.09 96.07 6.76 4.27 5.25 3.32 0.96 0.61
79
+ DH_EVAL_0076 15.53 574.21 498.31 86.78 13.28 2.31 67.12 11.69 8.78 1.53
80
+ DH_EVAL_0077 5.36 434.09 431.61 99.43 20.78 4.79 2.48 0.57 0.00 0.00
81
+ DH_EVAL_0078 32.29 286.43 197.79 69.05 3.86 1.35 71.85 25.08 16.79 5.86
82
+ DH_EVAL_0079 12.52 579.85 528.11 91.08 20.85 3.60 40.91 7.06 10.83 1.87
83
+ DH_EVAL_0080 13.57 626.21 568.02 90.71 26.79 4.28 34.33 5.48 23.86 3.81
84
+ DH_EVAL_0081 1.28 506.63 504.02 99.48 3.89 0.77 2.61 0.52 0.00 0.00
85
+ DH_EVAL_0082 17.77 483.43 449.18 92.92 51.68 10.69 5.42 1.12 28.83 5.96
86
+ DH_EVAL_0083 33.34 187.11 137.32 73.39 12.60 6.73 11.22 6.00 38.57 20.61
87
+ DH_EVAL_0084 5.28 441.20 433.60 98.28 15.68 3.55 7.56 1.71 0.04 0.01
88
+ DH_EVAL_0085 51.80 443.64 270.94 61.07 57.10 12.87 84.27 19.00 88.43 19.93
89
+ DH_EVAL_0086 202.64 73.04 48.58 66.52 123.55 169.16 2.75 3.76 21.71 29.72
90
+ DH_EVAL_0087 14.51 603.48 540.34 89.54 24.41 4.04 44.60 7.39 18.54 3.07
91
+ DH_EVAL_0088 17.64 625.73 546.76 87.38 31.43 5.02 64.87 10.37 14.10 2.25
92
+ DH_EVAL_0089 10.64 598.85 556.17 92.87 21.03 3.51 21.12 3.53 21.56 3.60
93
+ DH_EVAL_0090 50.27 577.35 345.68 59.87 58.55 10.14 22.03 3.81 209.64 36.31
94
+ DH_EVAL_0091 12.77 605.49 541.23 89.39 13.07 2.16 35.52 5.87 28.74 4.75
95
+ DH_EVAL_0092 19.65 430.60 419.94 97.53 73.97 17.18 4.14 0.96 6.52 1.51
96
+ DH_EVAL_0093 9.94 606.31 559.87 92.34 13.83 2.28 38.38 6.33 8.06 1.33
97
+ DH_EVAL_0094 16.76 309.12 288.29 93.26 30.99 10.02 15.88 5.14 4.95 1.60
98
+ DH_EVAL_0095 68.40 109.27 44.61 40.83 10.08 9.23 28.92 26.47 35.73 32.70
99
+ DH_EVAL_0096 19.10 263.16 237.16 90.12 24.25 9.21 14.49 5.50 11.52 4.38
100
+ DH_EVAL_0097 28.02 171.83 133.79 77.86 10.10 5.88 12.78 7.44 25.26 14.70
101
+ DH_EVAL_0098 20.33 331.49 297.42 89.72 33.33 10.05 25.48 7.69 8.59 2.59
102
+ DH_EVAL_0099 10.40 519.35 510.07 98.21 44.74 8.62 1.46 0.28 7.83 1.51
103
+ DH_EVAL_0100 47.02 730.43 472.76 64.72 85.75 11.74 167.13 22.88 90.54 12.39
104
+ DH_EVAL_0101 11.62 321.80 313.67 97.47 29.25 9.09 7.56 2.35 0.58 0.18
105
+ DH_EVAL_0102 54.44 180.18 100.63 55.85 18.53 10.29 6.88 3.82 72.67 40.33
106
+ DH_EVAL_0103 12.48 259.55 249.46 96.11 22.31 8.60 8.24 3.18 1.85 0.71
107
+ DH_EVAL_0104 21.56 153.47 127.90 83.34 7.53 4.91 11.05 7.20 14.52 9.46
108
+ DH_EVAL_0105 92.85 186.93 101.31 54.20 87.95 47.05 18.87 10.09 66.75 35.71
109
+ DH_EVAL_0106 12.47 596.35 540.30 90.60 18.31 3.07 33.41 5.60 22.64 3.80
110
+ DH_EVAL_0107 11.11 406.62 374.88 92.19 13.44 3.31 12.59 3.10 19.15 4.71
111
+ DH_EVAL_0108 15.20 519.95 474.55 91.27 33.63 6.47 19.34 3.72 26.07 5.01
112
+ DH_EVAL_0109 11.98 625.42 574.89 91.92 24.42 3.90 36.89 5.90 13.64 2.18
113
+ DH_EVAL_0110 13.62 593.70 532.78 89.74 19.94 3.36 43.60 7.34 17.33 2.92
114
+ DH_EVAL_0111 36.88 809.82 557.57 68.85 46.45 5.74 145.86 18.01 106.38 13.14
115
+ DH_EVAL_0112 65.08 106.94 66.03 61.74 28.69 26.83 7.26 6.79 33.65 31.47
116
+ DH_EVAL_0113 9.21 224.39 215.27 95.94 11.54 5.14 5.27 2.35 3.85 1.72
117
+ DH_EVAL_0114 14.88 593.40 523.59 88.24 18.52 3.12 40.80 6.88 29.01 4.89
118
+ DH_EVAL_0115 26.34 545.53 480.07 88.00 78.23 14.34 42.78 7.84 22.68 4.16
119
+ DH_EVAL_0116 73.75 145.80 42.70 29.29 4.43 3.04 74.27 50.94 28.83 19.77
120
+ DH_EVAL_0117 51.58 239.98 139.27 58.03 23.06 9.61 10.85 4.52 89.86 37.45
121
+ DH_EVAL_0118 16.08 488.21 457.76 93.76 48.07 9.85 19.15 3.92 11.31 2.32
122
+ DH_EVAL_0119 16.85 584.97 518.27 88.60 31.85 5.44 36.74 6.28 29.96 5.12
123
+ DH_EVAL_0120 18.42 295.03 265.93 90.14 25.23 8.55 11.67 3.95 17.43 5.91
124
+ DH_EVAL_0121 22.47 170.72 145.35 85.14 12.99 7.61 8.85 5.18 16.52 9.68
125
+ DH_EVAL_0122 4.27 468.03 451.85 96.54 3.82 0.82 16.18 3.46 0.00 0.00
126
+ DH_EVAL_0123 11.72 588.14 544.75 92.62 25.55 4.34 28.45 4.84 14.93 2.54
127
+ DH_EVAL_0124 8.81 170.28 163.14 95.81 7.87 4.62 1.83 1.08 5.30 3.11
128
+ DH_EVAL_0125 50.01 141.01 88.47 62.74 17.98 12.75 10.63 7.54 41.91 29.72
129
+ DH_EVAL_0126 11.34 596.15 553.75 92.89 25.22 4.23 32.45 5.44 9.95 1.67
130
+ DH_EVAL_0127 18.90 173.47 160.04 92.25 19.35 11.16 5.21 3.00 8.23 4.75
131
+ DH_EVAL_0128 12.13 323.75 289.87 89.54 5.40 1.67 32.04 9.90 1.83 0.57
132
+ DH_EVAL_0129 13.71 665.67 599.10 90.00 24.70 3.71 40.30 6.05 26.26 3.95
133
+ DH_EVAL_0130 19.50 319.60 281.12 87.96 23.84 7.46 22.32 6.98 16.16 5.06
134
+ DH_EVAL_0131 23.54 203.24 166.88 82.11 11.48 5.65 10.57 5.20 25.78 12.69
135
+ DH_EVAL_0132 13.68 230.82 205.97 89.23 6.71 2.91 15.21 6.59 9.65 4.18
136
+ DH_EVAL_0133 17.65 338.47 291.09 86.00 12.35 3.65 32.55 9.62 14.83 4.38
137
+ DH_EVAL_0134 10.88 564.46 521.59 92.41 18.52 3.28 31.78 5.63 11.09 1.96
138
+ DH_EVAL_0135 14.64 220.01 203.26 92.39 15.47 7.03 11.24 5.11 5.51 2.51
139
+ DH_EVAL_0136 14.99 576.15 527.51 91.56 37.73 6.55 26.30 4.57 22.33 3.88
140
+ DH_EVAL_0137 8.01 515.14 499.79 97.02 25.90 5.03 7.42 1.44 7.93 1.54
141
+ DH_EVAL_0138 28.65 287.62 269.36 93.65 64.15 22.30 7.48 2.60 10.78 3.75
142
+ DH_EVAL_0139 46.99 761.06 438.30 57.59 34.88 4.58 166.13 21.83 156.64 20.58
143
+ DH_EVAL_0140 7.51 519.01 509.86 98.24 29.83 5.75 4.89 0.94 4.26 0.82
144
+ DH_EVAL_0141 14.46 611.96 539.88 88.22 16.39 2.68 61.47 10.04 10.61 1.73
145
+ DH_EVAL_0142 9.71 469.91 449.92 95.75 25.65 5.46 9.19 1.96 10.80 2.30
146
+ DH_EVAL_0143 17.15 33.03 29.83 90.30 2.46 7.45 1.96 5.94 1.24 3.76
147
+ DH_EVAL_0144 14.62 324.19 287.62 88.72 10.83 3.34 6.97 2.15 29.60 9.13
148
+ DH_EVAL_0145 21.65 239.68 199.56 83.26 11.77 4.91 33.33 13.90 6.79 2.83
149
+ DH_EVAL_0146 14.30 497.90 458.54 92.09 31.84 6.39 9.57 1.92 29.79 5.98
150
+ DH_EVAL_0147 12.61 278.78 251.04 90.05 7.41 2.66 8.14 2.92 19.60 7.03
151
+ DH_EVAL_0148 13.77 564.73 505.14 89.45 18.15 3.21 27.89 4.94 31.70 5.61
152
+ DH_EVAL_0149 7.96 368.16 352.29 95.69 13.43 3.65 9.26 2.52 6.60 1.79
153
+ DH_EVAL_0150 3.23 499.76 495.02 99.05 11.43 2.29 4.74 0.95 0.00 0.00
154
+ DH_EVAL_0151 2.57 475.17 466.19 98.11 3.23 0.68 8.98 1.89 0.00 0.00
155
+ DH_EVAL_0152 55.81 749.20 422.58 56.40 91.52 12.22 180.99 24.16 145.63 19.44
156
+ DH_EVAL_0153 35.11 155.63 117.44 75.46 16.44 10.56 8.25 5.30 29.94 19.24
157
+ DH_EVAL_0154 20.86 196.22 168.30 85.77 13.01 6.63 15.37 7.83 12.56 6.40
158
+ DH_EVAL_0155 27.58 230.32 189.43 82.25 22.63 9.83 13.52 5.87 27.37 11.88
159
+ DH_EVAL_0156 18.09 105.83 92.88 87.76 6.19 5.85 3.66 3.46 9.30 8.78
160
+ DH_EVAL_0157 19.99 172.68 149.77 86.73 11.60 6.72 8.90 5.16 14.01 8.11
161
+ DH_EVAL_0158 14.46 194.45 172.71 88.82 6.37 3.28 14.23 7.32 7.51 3.86
162
+ DH_EVAL_0159 16.54 491.46 439.30 89.39 29.15 5.93 21.42 4.36 30.75 6.26
163
+ DH_EVAL_0160 60.69 731.94 386.02 52.74 98.32 13.43 175.22 23.94 170.70 23.32
164
+ DH_EVAL_0161 47.65 705.51 446.47 63.28 77.12 10.93 130.71 18.53 128.32 18.19
165
+ DH_EVAL_0162 7.60 638.54 610.24 95.57 20.25 3.17 22.40 3.51 5.90 0.92
166
+ DH_EVAL_0163 22.57 177.17 155.49 87.76 18.30 10.33 12.47 7.04 9.21 5.20
167
+ DH_EVAL_0164 30.16 731.27 534.30 73.06 23.57 3.22 134.33 18.37 62.64 8.57
168
+ DH_EVAL_0165 15.55 122.42 121.75 99.45 18.36 14.99 0.68 0.55 0.00 0.00
169
+ DH_EVAL_0166 54.22 424.52 202.00 47.58 7.66 1.81 114.12 26.88 108.40 25.54
170
+ DH_EVAL_0167 27.21 205.49 170.06 82.76 20.48 9.97 7.83 3.81 27.61 13.43
171
+ DH_EVAL_0168 12.51 596.56 540.08 90.53 18.15 3.04 36.23 6.07 20.25 3.40
172
+ DH_EVAL_0169 12.76 418.61 405.91 96.97 40.72 9.73 9.94 2.37 2.76 0.66
173
+ DH_EVAL_0170 21.10 508.38 441.17 86.78 40.05 7.88 27.36 5.38 39.85 7.84
174
+ DH_EVAL_0171 31.17 604.31 459.85 76.10 43.93 7.27 67.51 11.17 76.95 12.73
175
+ DH_EVAL_0172 10.84 178.97 169.67 94.81 10.10 5.64 2.85 1.59 6.45 3.60
176
+ DH_EVAL_0173 60.54 830.20 433.63 52.23 106.03 12.77 186.79 22.50 209.78 25.27
177
+ DH_EVAL_0174 13.49 479.38 435.65 90.88 20.92 4.36 33.45 6.98 10.28 2.14
178
+ DH_EVAL_0175 8.73 525.46 509.70 97.00 30.12 5.73 3.75 0.71 12.00 2.28
179
+ DH_EVAL_0176 11.59 537.43 519.42 96.65 44.28 8.24 6.55 1.22 11.46 2.13
180
+ DH_EVAL_0177 13.75 237.60 228.32 96.09 23.40 9.85 6.24 2.63 3.04 1.28
181
+ DH_EVAL_0178 62.88 162.67 68.64 42.19 8.25 5.07 46.15 28.37 47.89 29.44
182
+ DH_EVAL_0179 12.39 605.47 555.30 91.71 24.87 4.11 30.56 5.05 19.61 3.24
183
+ DH_EVAL_0180 6.92 301.07 290.91 96.62 10.66 3.54 7.94 2.64 2.22 0.74
184
+ DH_EVAL_0181 27.53 511.65 414.41 81.00 43.61 8.52 48.87 9.55 48.37 9.45
185
+ DH_EVAL_0182 15.46 592.58 530.16 89.47 29.22 4.93 27.39 4.62 35.03 5.91
186
+ DH_EVAL_0183 20.21 270.22 256.57 94.95 40.98 15.16 7.89 2.92 5.76 2.13
187
+ DH_EVAL_0184 19.89 549.14 459.24 83.63 19.32 3.52 48.56 8.84 41.33 7.53
188
+ DH_EVAL_0185 15.52 609.03 540.03 88.67 25.51 4.19 51.00 8.37 17.99 2.95
189
+ DH_EVAL_0186 30.48 548.87 402.63 73.36 21.03 3.83 92.71 16.89 53.54 9.75
190
+ DH_EVAL_0187 8.52 509.80 479.42 94.04 13.06 2.56 8.11 1.59 22.27 4.37
191
+ DH_EVAL_0188 9.98 531.07 507.28 95.52 29.19 5.50 3.73 0.70 20.06 3.78
192
+ DH_EVAL_0189 56.39 154.29 82.34 53.36 15.05 9.75 6.36 4.12 65.60 42.52
193
+ DH_EVAL_0190 28.96 232.43 186.15 80.09 21.03 9.05 13.90 5.98 32.38 13.93
194
+ DH_EVAL_0191 18.04 296.83 267.04 89.96 23.77 8.01 23.08 7.77 6.72 2.26
195
+ DH_EVAL_0192 23.54 225.96 187.16 82.83 14.39 6.37 10.21 4.52 28.59 12.65
196
+ DH_EVAL_0193 8.59 602.41 571.49 94.87 20.81 3.45 21.12 3.51 9.79 1.63
197
+ DH_EVAL_0194 61.13 770.60 401.43 52.09 101.87 13.22 166.65 21.63 202.53 26.28
198
+ DH_EVAL_0195 4.32 447.84 438.97 98.02 10.47 2.34 8.87 1.98 0.00 0.00
199
+ DH_EVAL_0196 17.03 519.28 491.52 94.66 60.69 11.69 4.84 0.93 22.91 4.41
200
+ DH_EVAL_0197 46.80 227.84 150.13 65.89 28.92 12.69 9.03 3.96 68.68 30.14
201
+ DH_EVAL_0198 15.43 599.96 523.97 87.33 16.58 2.76 59.33 9.89 16.67 2.78
202
+ DH_EVAL_0199 68.65 199.17 71.15 35.72 8.71 4.37 38.17 19.16 89.86 45.11
203
+ DH_EVAL_0200 3.32 465.13 455.61 97.95 5.94 1.28 9.46 2.03 0.07 0.01
204
+ DH_EVAL_0201 13.16 535.14 487.56 91.11 22.82 4.26 17.11 3.20 30.48 5.69
205
+ DH_EVAL_0202 2.58 468.81 464.35 99.05 7.64 1.63 4.46 0.95 0.00 0.00
206
+ DH_EVAL_0203 6.69 594.55 570.43 95.94 15.66 2.63 23.62 3.97 0.49 0.08
207
+ DH_EVAL_0204 15.06 211.18 190.31 90.12 10.94 5.18 13.37 6.33 7.49 3.55
208
+ DH_EVAL_0205 13.12 166.38 154.48 92.85 9.92 5.96 7.76 4.66 4.14 2.49
209
+ DH_EVAL_0206 37.56 682.78 478.56 70.09 52.20 7.64 126.00 18.45 78.22 11.46
210
+ DH_EVAL_0207 14.28 229.13 207.28 90.46 10.86 4.74 10.03 4.38 11.82 5.16
211
+ DH_EVAL_0208 27.15 239.26 198.03 82.77 23.73 9.92 13.48 5.63 27.75 11.60
212
+ DH_EVAL_0209 40.31 156.36 110.47 70.65 17.14 10.96 18.39 11.76 27.51 17.59
213
+ DH_EVAL_0210 190.40 31.39 15.11 48.15 43.48 138.55 5.45 17.35 10.83 34.51
214
+ DH_EVAL_0211 14.17 530.28 491.09 92.61 35.98 6.78 20.86 3.93 18.33 3.46
215
+ DH_EVAL_0212 20.37 205.84 178.55 86.74 14.63 7.11 12.07 5.86 15.22 7.39
216
+ DH_EVAL_0213 12.57 599.20 533.64 89.06 9.76 1.63 60.92 10.17 4.64 0.77
217
+ DH_EVAL_0214 35.02 739.59 505.83 68.39 25.21 3.41 146.85 19.86 86.90 11.75
218
+ DH_EVAL_0215 12.94 450.21 437.62 97.20 45.67 10.14 6.41 1.42 6.17 1.37
219
+ DH_EVAL_0216 10.35 225.19 210.80 93.61 8.92 3.96 5.29 2.35 9.11 4.04
220
+ DH_EVAL_0217 23.06 301.29 247.80 82.25 15.99 5.31 14.14 4.69 39.35 13.06
221
+ DH_EVAL_0218 8.13 523.22 508.78 97.24 28.08 5.37 7.85 1.50 6.59 1.26
222
+ DH_EVAL_0219 15.53 447.56 418.56 93.52 40.51 9.05 19.01 4.25 9.99 2.23
223
+ DH_EVAL_0220 14.34 155.02 143.00 92.25 10.22 6.59 8.49 5.48 3.53 2.28
224
+ DH_EVAL_0221 18.14 592.71 507.61 85.64 22.40 3.78 44.74 7.55 40.36 6.81
225
+ DH_EVAL_0222 14.84 200.19 182.65 91.24 12.18 6.08 11.97 5.98 5.56 2.78
226
+ DH_EVAL_0223 23.64 169.70 136.36 80.35 6.78 3.99 11.79 6.95 21.54 12.70
227
+ DH_EVAL_0224 15.09 409.88 394.57 96.27 46.54 11.35 13.78 3.36 1.52 0.37
228
+ DH_EVAL_0225 34.84 43.12 35.38 82.05 7.28 16.88 4.15 9.64 3.59 8.32
229
+ DH_EVAL_0226 27.89 188.03 150.76 80.18 15.17 8.07 14.03 7.46 23.24 12.36
230
+ DH_EVAL_0227 26.46 266.67 220.25 82.59 24.14 9.05 27.36 10.26 19.06 7.15
231
+ DH_EVAL_0228 1.56 508.17 504.51 99.28 4.29 0.84 3.66 0.72 0.00 0.00
232
+ DH_EVAL_0229 21.31 166.63 150.03 90.04 18.90 11.35 11.39 6.84 5.21 3.13
233
+ DH_EVAL_0230 11.42 618.19 565.95 91.55 18.34 2.97 49.67 8.04 2.57 0.42
234
+ DH_EVAL_0231 19.39 261.19 229.09 87.71 18.55 7.10 14.23 5.45 17.87 6.84
235
+ DH_EVAL_0232 18.64 574.66 489.33 85.15 21.81 3.80 54.00 9.40 31.33 5.45
236
+ DH_EVAL_0233 14.97 463.54 456.09 98.39 61.92 13.36 3.41 0.74 4.04 0.87
237
+ DH_EVAL_0234 38.00 578.23 394.60 68.24 36.08 6.24 38.67 6.69 144.96 25.07
238
+ DH_EVAL_0235 18.63 387.37 320.21 82.66 4.99 1.29 51.84 13.38 15.32 3.95
239
+ DH_EVAL_0236 33.08 715.19 511.80 71.56 33.19 4.64 161.76 22.62 41.63 5.82
240
+ DH_EVAL_0237 3.69 37.60 36.25 96.43 0.04 0.12 1.34 3.57 0.00 0.00
241
+ DH_EVAL_0238 60.80 960.48 385.90 40.18 9.37 0.98 398.61 41.50 175.96 18.32
242
+ DH_EVAL_0239 4.53 496.98 487.24 98.04 12.76 2.57 3.69 0.74 6.04 1.22
243
+ DH_EVAL_0240 29.24 107.01 92.35 86.30 16.63 15.54 5.29 4.94 9.37 8.76
244
+ DH_EVAL_0241 11.52 530.54 503.17 94.84 33.75 6.36 16.56 3.12 10.80 2.04
245
+ DH_EVAL_0242 12.31 559.54 503.94 90.06 13.28 2.37 41.27 7.37 14.33 2.56
246
+ DH_EVAL_0243 7.69 350.62 333.69 95.17 10.05 2.87 6.43 1.83 10.50 3.00
247
+ DH_EVAL_0244 13.70 203.13 183.77 90.47 8.48 4.17 6.37 3.13 13.00 6.40
248
+ DH_EVAL_0245 22.21 291.88 240.13 82.27 13.07 4.48 29.21 10.01 22.53 7.72
249
+ DH_EVAL_0246 19.63 538.67 457.35 84.90 24.41 4.53 43.53 8.08 37.78 7.01
250
+ DH_EVAL_0247 9.88 524.59 491.27 93.65 18.53 3.53 27.35 5.21 5.97 1.14
251
+ DH_EVAL_0248 13.77 636.58 571.03 89.70 22.12 3.47 41.88 6.58 23.67 3.72
252
+ DH_EVAL_0249 18.28 618.25 518.61 83.88 13.40 2.17 77.31 12.50 22.33 3.61
253
+ DH_EVAL_0250 20.15 590.11 491.89 83.36 20.69 3.51 61.87 10.48 36.35 6.16
254
+ DH_EVAL_0251 17.40 218.83 191.50 87.51 10.74 4.91 15.26 6.97 12.08 5.52
255
+ DH_EVAL_0252 26.85 124.22 103.71 83.48 12.84 10.34 3.18 2.56 17.34 13.96
256
+ DH_EVAL_0253 13.39 492.02 471.98 95.93 45.86 9.32 4.27 0.87 15.78 3.21
257
+ DH_EVAL_0254 60.58 610.19 347.50 56.95 106.98 17.53 150.03 24.59 112.66 18.46
258
+ DH_EVAL_0255 12.95 635.93 579.15 91.07 25.54 4.02 32.78 5.16 24.00 3.77
259
+ DH_EVAL_0256 25.62 187.90 163.64 87.09 23.87 12.70 13.37 7.11 10.89 5.80
260
+ DH_EVAL_0257 13.56 530.20 494.26 93.22 35.97 6.78 5.82 1.10 30.12 5.68
261
+ DH_EVAL_0258 30.47 162.26 121.16 74.67 8.33 5.14 10.58 6.52 30.52 18.81
262
+ DH_EVAL_0259 56.76 93.87 46.18 49.20 5.59 5.96 28.97 30.86 18.72 19.94
263
+ TOTAL 21.68 103757.36 87748.39 84.57 6486.48 6.25 8433.62 8.13 7575.35 7.30
reproducible_research/DIHARD.SpeakerDiarization.Benchmark.test.rttm ADDED
The diff for this file is too large to render. See raw diff
 
reproducible_research/MSDWILD.SpeakerDiarization.Benchmark.test.eval ADDED
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410
+ 00431 42.96 43.02 28.04 65.17 3.50 8.13 6.73 15.64 8.26 19.19
411
+ 00719 52.56 26.48 14.52 54.86 1.96 7.42 1.70 6.42 10.25 38.72
412
+ 00957 13.98 16.96 15.17 89.43 0.58 3.40 1.49 8.80 0.30 1.77
413
+ 01290 34.68 49.90 35.24 70.62 2.64 5.30 6.65 13.33 8.01 16.05
414
+ 01951 29.56 21.67 16.07 74.18 0.81 3.74 4.67 21.54 0.93 4.27
415
+ 02365 30.10 36.72 29.31 79.80 3.64 9.91 2.94 8.01 4.47 12.18
416
+ 02074 20.38 24.86 21.30 85.65 1.50 6.03 1.86 7.49 1.70 6.85
417
+ 01196 54.01 127.18 65.65 51.62 7.16 5.63 21.35 16.79 40.18 31.59
418
+ 00996 30.95 44.06 32.55 73.87 2.12 4.82 6.60 14.98 4.91 11.15
419
+ 00084 76.33 23.10 10.06 43.57 4.60 19.90 3.01 13.02 10.03 43.41
420
+ 01398 44.71 37.78 24.03 63.62 3.15 8.32 4.37 11.57 9.37 24.81
421
+ 01893 21.58 173.61 141.09 81.27 4.96 2.85 15.95 9.19 16.56 9.54
422
+ 00635 32.52 68.07 50.01 73.47 4.08 6.00 4.39 6.45 13.67 20.08
423
+ 01549 9.72 32.45 31.34 96.60 2.05 6.32 1.00 3.09 0.10 0.31
424
+ 01825 9.80 42.71 41.37 96.87 2.85 6.67 1.30 3.04 0.04 0.09
425
+ 00982 6.62 87.68 86.07 98.17 4.19 4.78 0.74 0.84 0.87 0.99
426
+ 01197 11.48 37.63 35.83 95.23 2.52 6.70 0.77 2.04 1.03 2.73
427
+ 01399 39.07 29.33 19.29 65.76 1.42 4.83 2.62 8.95 7.42 25.30
428
+ 01450 49.10 48.08 27.66 57.54 3.19 6.64 4.55 9.47 15.86 32.99
429
+ 02305 29.29 26.95 21.38 79.33 2.32 8.62 0.83 3.09 4.74 17.58
430
+ 00641 18.56 30.84 25.88 83.91 0.76 2.47 3.54 11.48 1.42 4.62
431
+ 02885 54.80 28.20 15.95 56.58 3.21 11.37 6.48 22.98 5.76 20.44
432
+ 00573 8.02 240.30 223.38 92.96 2.35 0.98 12.65 5.26 4.27 1.78
433
+ 00227 16.04 35.71 31.59 88.47 1.61 4.51 0.09 0.25 4.03 11.28
434
+ 02150 12.21 37.60 35.39 94.14 2.38 6.34 1.62 4.30 0.59 1.56
435
+ 01266 45.34 18.73 15.32 81.82 5.09 27.16 0.08 0.45 3.32 17.73
436
+ 00053 53.57 30.45 17.49 57.43 3.35 11.00 4.61 15.13 8.36 27.43
437
+ 01967 31.34 146.94 111.65 75.98 10.76 7.32 15.11 10.28 20.18 13.73
438
+ 01899 29.49 23.50 16.90 71.92 0.33 1.41 1.50 6.37 5.10 21.71
439
+ 02227 14.23 77.80 68.92 88.60 2.19 2.82 1.58 2.03 7.29 9.37
440
+ 00948 7.60 23.06 22.10 95.83 0.79 3.43 0.83 3.61 0.13 0.55
441
+ 00143 72.04 27.68 10.57 38.17 2.83 10.21 3.99 14.42 13.12 47.41
442
+ 01543 53.04 29.87 16.65 55.77 2.63 8.81 5.88 19.69 7.33 24.54
443
+ 01327 37.67 33.67 21.83 64.83 0.84 2.50 5.58 16.57 6.26 18.60
444
+ 00645 60.74 108.04 51.30 47.48 8.89 8.22 16.37 15.15 40.37 37.36
445
+ 02218 51.96 25.55 15.04 58.86 2.76 10.82 3.71 14.52 6.80 26.62
446
+ 02374 18.96 25.98 22.58 86.92 1.53 5.88 0.19 0.73 3.21 12.35
447
+ 02464 62.01 35.74 21.37 59.78 7.79 21.78 4.73 13.24 9.65 26.99
448
+ 02271 60.26 26.80 13.51 50.42 2.86 10.67 2.01 7.51 11.28 42.07
449
+ 00872 10.18 87.39 84.57 96.77 6.07 6.95 2.43 2.78 0.39 0.45
450
+ 01019 32.28 90.30 64.60 71.54 3.45 3.82 5.74 6.35 19.96 22.11
451
+ 00479 16.54 102.46 93.02 90.79 7.50 7.32 8.55 8.35 0.89 0.87
452
+ 00995 36.12 75.86 53.54 70.58 5.08 6.69 7.12 9.39 15.20 20.03
453
+ 00535 43.97 25.27 16.66 65.92 2.50 9.89 3.76 14.88 4.85 19.20
454
+ 01356 23.00 187.44 160.26 85.50 15.94 8.50 19.76 10.54 7.42 3.96
455
+ 00668 25.85 37.88 33.02 87.17 4.93 13.02 1.36 3.60 3.50 9.24
456
+ 01567 29.74 30.36 23.47 77.30 2.14 7.05 3.05 10.05 3.84 12.65
457
+ 01913 19.67 208.11 186.73 89.73 19.55 9.39 7.83 3.76 13.54 6.51
458
+ 02621 40.01 135.35 91.64 67.71 10.44 7.72 8.54 6.31 35.17 25.98
459
+ 01330 18.09 24.64 21.20 86.05 1.02 4.15 1.08 4.40 2.35 9.55
460
+ 01661 10.89 39.45 35.48 89.95 0.33 0.84 3.76 9.53 0.20 0.52
461
+ 00028 85.03 29.39 8.75 29.77 4.35 14.80 11.90 40.48 8.74 29.75
462
+ 00284 6.67 30.48 30.23 99.18 1.78 5.85 0.25 0.82 0.00 0.00
463
+ 02340 43.20 76.94 51.46 66.88 7.75 10.08 19.57 25.43 5.92 7.69
464
+ 00808 57.91 23.72 12.60 53.10 2.61 11.01 3.45 14.55 7.67 32.35
465
+ 00328 13.06 95.99 87.70 91.37 4.26 4.43 4.45 4.64 3.83 3.99
466
+ 00788 11.54 19.55 19.29 98.70 2.00 10.24 0.25 1.30 0.00 0.00
467
+ 02619 41.38 37.91 25.23 66.55 3.01 7.93 2.89 7.63 9.79 25.82
468
+ 02035 5.76 38.39 36.86 96.01 0.68 1.77 0.77 2.01 0.76 1.98
469
+ 00745 37.22 20.07 14.72 73.34 2.12 10.56 2.02 10.04 3.33 16.62
470
+ 00817 12.09 46.97 43.80 93.25 2.51 5.35 0.94 2.01 2.23 4.74
471
+ 02252 29.11 71.17 53.24 74.80 2.79 3.91 10.75 15.10 7.18 10.09
472
+ 01764 6.27 57.75 56.18 97.28 2.05 3.55 1.51 2.62 0.05 0.09
473
+ 00660 11.17 76.28 70.31 92.17 2.55 3.35 4.08 5.34 1.89 2.48
474
+ 00198 59.93 56.35 27.24 48.33 4.65 8.26 9.89 17.55 19.23 34.12
475
+ 02176 58.89 38.74 21.95 56.66 6.02 15.55 2.93 7.56 13.86 35.78
476
+ 00942 13.48 50.98 48.30 94.73 4.19 8.21 1.42 2.78 1.27 2.48
477
+ 00801 28.90 93.37 77.12 82.60 10.73 11.49 7.76 8.31 8.49 9.10
478
+ 00706 37.96 149.36 99.89 66.88 7.21 4.83 20.70 13.86 28.77 19.26
479
+ 01429 53.81 32.40 19.19 59.22 4.22 13.03 2.37 7.32 10.84 33.47
480
+ 01087 69.11 122.73 55.32 45.07 17.41 14.18 24.80 20.21 42.61 34.72
481
+ 02606 23.97 56.21 45.38 80.74 2.64 4.70 3.18 5.67 7.64 13.60
482
+ 02053 46.32 37.74 26.19 69.39 5.93 15.71 2.02 5.35 9.53 25.26
483
+ 02432 0.83 22.32 22.32 99.96 0.18 0.79 0.01 0.04 0.00 0.00
484
+ 03022 43.23 34.27 19.59 57.16 0.13 0.39 9.09 26.53 5.59 16.31
485
+ 01980 41.55 22.50 17.00 75.57 3.85 17.11 2.90 12.89 2.60 11.54
486
+ 02325 17.34 342.49 292.73 85.47 9.63 2.81 26.79 7.82 22.97 6.71
487
+ 01509 5.77 99.99 96.61 96.62 2.39 2.39 2.79 2.79 0.60 0.60
488
+ 00386 7.37 19.23 18.16 94.44 0.35 1.81 0.56 2.91 0.51 2.65
489
+ 02848 61.02 63.41 29.59 46.66 4.87 7.68 17.35 27.35 16.48 25.98
490
+ 01329 24.11 51.68 41.96 81.19 2.74 5.30 6.52 12.61 3.21 6.20
491
+ 01660 57.85 33.03 17.24 52.19 3.32 10.04 7.47 22.63 8.32 25.18
492
+ 00562 22.68 253.72 227.97 89.85 31.80 12.53 18.83 7.42 6.92 2.73
493
+ 02622 15.02 26.23 22.94 87.43 0.64 2.46 1.65 6.30 1.64 6.27
494
+ TOTAL 25.33 35932.62 28916.69 80.47 2084.31 5.80 2883.95 8.03 4131.97 11.50
reproducible_research/MSDWILD.SpeakerDiarization.Benchmark.test.rttm ADDED
The diff for this file is too large to render. See raw diff
 
reproducible_research/REPERE.SpeakerDiarization.Benchmark.test.eval ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ diarization error rate total correct correct false alarm false alarm missed detection missed detection confusion confusion
2
+ % % % % %
3
+ item
4
+ BFMTV_BFMStory_2012-07-24_175800 8.93 3373.81 3122.49 92.55 49.94 1.48 88.16 2.61 163.16 4.84
5
+ BFMTV_BFMStory_2012-07-26_175800 5.29 2931.58 2807.14 95.76 30.55 1.04 72.06 2.46 52.38 1.79
6
+ BFMTV_BFMStory_2012-07-27_175800 6.04 2721.21 2602.69 95.64 45.83 1.68 45.17 1.66 73.35 2.70
7
+ BFMTV_BFMStory_2012-08-24_175800 6.89 2817.69 2650.80 94.08 27.28 0.97 68.92 2.45 97.97 3.48
8
+ BFMTV_BFMStory_2012-11-09_175800 3.26 954.20 927.46 97.20 4.41 0.46 15.97 1.67 10.77 1.13
9
+ BFMTV_BFMStory_2012-11-14_175800 8.42 976.95 897.05 91.82 2.40 0.25 52.64 5.39 27.26 2.79
10
+ BFMTV_BFMStory_2012-11-15_175800 3.89 895.79 870.23 97.15 9.30 1.04 12.48 1.39 13.08 1.46
11
+ BFMTV_CultureEtVous_2012-02-20_065040 17.03 120.17 100.71 83.81 1.01 0.84 12.63 10.51 6.83 5.68
12
+ BFMTV_CultureEtVous_2012-02-24_065040 16.87 250.92 218.74 87.18 10.16 4.05 18.62 7.42 13.56 5.40
13
+ BFMTV_CultureEtVous_2012-04-05_065040 14.87 110.28 97.65 88.54 3.76 3.41 10.49 9.51 2.14 1.94
14
+ BFMTV_CultureEtVous_2012-05-14_065040 14.81 101.81 91.22 89.60 4.48 4.41 7.53 7.40 3.06 3.01
15
+ BFMTV_CultureEtVous_2012-07-18_065040 17.30 97.30 86.51 88.91 6.04 6.21 3.75 3.85 7.04 7.23
16
+ BFMTV_CultureEtVous_2012-07-23_065040 28.67 94.13 72.35 76.86 5.21 5.54 3.99 4.24 17.79 18.89
17
+ BFMTV_CultureEtVous_2012-10-05_064700 9.91 99.40 89.92 90.46 0.37 0.37 0.91 0.91 8.57 8.63
18
+ BFMTV_CultureEtVous_2012-10-08_064700 26.89 86.06 76.55 88.95 13.63 15.84 6.19 7.19 3.32 3.86
19
+ BFMTV_CultureEtVous_2012-10-09_064700 20.19 92.33 82.31 89.14 8.62 9.34 1.37 1.49 8.65 9.37
20
+ BFMTV_CultureEtVous_2012-10-12_064700 20.62 125.20 100.17 80.01 0.79 0.63 9.35 7.47 15.68 12.52
21
+ BFMTV_CultureEtVous_2012-10-16_064700 30.25 123.41 88.49 71.71 2.42 1.96 13.33 10.80 21.58 17.49
22
+ BFMTV_CultureEtVous_2012-10-17_064700 23.19 91.76 80.76 88.02 10.29 11.21 4.13 4.51 6.86 7.48
23
+ BFMTV_CultureEtVous_2012-10-18_064700 5.17 94.62 90.41 95.54 0.68 0.72 0.82 0.86 3.40 3.59
24
+ BFMTV_CultureEtVous_2012-10-22_064700 27.88 118.20 92.45 78.22 7.21 6.10 10.43 8.82 15.32 12.96
25
+ BFMTV_CultureEtVous_2012-10-23_064700 27.43 84.44 66.78 79.08 5.49 6.51 0.39 0.47 17.27 20.45
26
+ BFMTV_CultureEtVous_2012-10-24_064700 18.01 111.54 92.07 82.55 0.62 0.55 8.77 7.86 10.70 9.60
27
+ BFMTV_CultureEtVous_2012-10-26_064700 28.94 98.27 71.36 72.62 1.53 1.56 7.93 8.07 18.97 19.31
28
+ BFMTV_CultureEtVous_2012-11-09_064700 12.24 112.10 100.25 89.43 1.87 1.67 5.27 4.70 6.58 5.87
29
+ BFMTV_CultureEtVous_2012-12-10_064700 20.34 89.69 79.59 88.75 8.15 9.09 0.97 1.08 9.13 10.18
30
+ BFMTV_CultureEtVous_2012-12-11_064700 22.66 98.45 79.72 80.97 3.57 3.63 2.99 3.03 15.75 16.00
31
+ BFMTV_CultureEtVous_2012-12-12_065040 20.15 109.94 89.86 81.73 2.06 1.88 5.58 5.07 14.51 13.20
32
+ BFMTV_CultureEtVous_2012-12-13_064700 21.04 98.62 83.31 84.48 5.44 5.52 11.91 12.07 3.40 3.45
33
+ BFMTV_CultureEtVous_2012-12-17_064700 17.38 120.19 108.96 90.66 9.66 8.04 2.23 1.86 9.00 7.49
34
+ BFMTV_CultureEtVous_2012-12-21_064700 4.41 107.58 104.98 97.58 2.14 1.99 0.88 0.81 1.73 1.61
35
+ BFMTV_CultureEtVous_2013-01-03_064700 6.35 98.49 93.86 95.29 1.62 1.64 0.84 0.85 3.79 3.85
36
+ BFMTV_RuthElkrief_2012-09-18_190340 13.96 316.64 278.62 87.99 6.17 1.95 15.29 4.83 22.73 7.18
37
+ BFMTV_RuthElkrief_2012-09-19_190040 3.05 284.33 277.60 97.63 1.95 0.69 3.79 1.33 2.94 1.03
38
+ BFMTV_RuthElkrief_2012-09-20_190040 4.14 374.71 359.40 95.91 0.21 0.06 10.50 2.80 4.81 1.28
39
+ BFMTV_RuthElkrief_2012-09-21_190040 4.27 299.02 290.11 97.02 3.85 1.29 3.36 1.13 5.54 1.85
40
+ LCP_CaVousRegarde_2012-09-19_002500 5.02 288.42 276.23 95.77 2.28 0.79 1.97 0.68 10.22 3.54
41
+ LCP_CaVousRegarde_2012-09-20_002500 15.47 367.72 319.71 86.95 8.88 2.42 18.92 5.14 29.09 7.91
42
+ LCP_CaVousRegarde_2012-09-25_202500 8.41 331.51 308.79 93.15 5.15 1.55 7.14 2.15 15.58 4.70
43
+ LCP_EntreLesLignes_2012-10-19_212000 7.69 1694.95 1604.50 94.66 39.83 2.35 17.90 1.06 72.54 4.28
44
+ LCP_EntreLesLignes_2012-12-08_032500 20.12 335.68 273.49 81.47 5.36 1.60 9.57 2.85 52.62 15.68
45
+ LCP_EntreLesLignes_2013-01-19_212400 6.15 327.27 309.36 94.53 2.21 0.67 7.63 2.33 10.29 3.14
46
+ LCP_EntreLesLignes_2013-03-02_212400 18.03 364.59 303.05 83.12 4.21 1.15 10.40 2.85 51.14 14.03
47
+ LCP_EntreLesLignes_2013-03-16_212400 6.11 1013.49 984.90 97.18 33.34 3.29 6.74 0.67 21.85 2.16
48
+ LCP_LCPActu14h_2012-11-26_135500 3.54 580.20 560.00 96.52 0.31 0.05 12.74 2.20 7.46 1.29
49
+ LCP_LCPActu14h_2013-01-08_135400 5.06 588.88 567.09 96.30 8.02 1.36 10.38 1.76 11.41 1.94
50
+ LCP_LCPActu14h_2013-01-09_135400 1.49 602.77 596.30 98.93 2.50 0.41 4.31 0.72 2.16 0.36
51
+ LCP_LCPInfo13h30_2012-04-11_132700 6.11 889.32 864.73 97.24 29.78 3.35 20.34 2.29 4.25 0.48
52
+ LCP_LCPInfo13h30_2012-04-12_132700 5.45 911.62 881.89 96.74 19.99 2.19 13.84 1.52 15.89 1.74
53
+ LCP_LCPInfo13h30_2012-04-13_132700 7.57 837.16 791.90 94.59 18.14 2.17 21.37 2.55 23.90 2.85
54
+ LCP_LCPInfo13h30_2012-04-19_132700 10.53 861.63 777.76 90.27 6.90 0.80 44.39 5.15 39.48 4.58
55
+ LCP_LCPInfo13h30_2012-05-03_132700 10.00 962.86 883.43 91.75 16.84 1.75 40.08 4.16 39.35 4.09
56
+ LCP_PileEtFace_2012-07-05_192700 5.70 904.26 872.38 96.47 19.63 2.17 6.77 0.75 25.11 2.78
57
+ LCP_PileEtFace_2012-10-04_192200 6.93 1731.16 1664.25 96.14 53.00 3.06 19.54 1.13 47.36 2.74
58
+ LCP_PileEtFace_2012-10-15_142500 7.83 1584.62 1507.59 95.14 47.03 2.97 64.85 4.09 12.18 0.77
59
+ LCP_PileEtFace_2012-10-26_012500 3.56 186.30 179.76 96.49 0.09 0.05 4.95 2.66 1.60 0.86
60
+ LCP_PileEtFace_2012-11-30_012500 10.59 184.46 167.35 90.73 2.43 1.32 5.48 2.97 11.63 6.30
61
+ LCP_PileEtFace_2012-12-08_012500 13.81 192.02 168.89 87.95 3.38 1.76 1.72 0.90 21.41 11.15
62
+ LCP_TopQuestions_2012-11-28_232500 3.03 724.12 710.61 98.13 8.45 1.17 9.59 1.32 3.92 0.54
63
+ LCP_TopQuestions_2013-01-30_232600 4.89 584.85 557.63 95.35 1.39 0.24 22.25 3.81 4.97 0.85
64
+ LCP_TopQuestions_2013-04-24_232600 3.48 342.38 336.62 98.32 6.13 1.79 5.34 1.56 0.43 0.12
65
+ TOTAL 7.84 36073.06 33890.73 93.95 644.01 1.79 927.84 2.57 1254.49 3.48
reproducible_research/REPERE.SpeakerDiarization.Benchmark.test.rttm ADDED
The diff for this file is too large to render. See raw diff
 
reproducible_research/VoxConverse.SpeakerDiarization.Benchmark.test.eval ADDED
@@ -0,0 +1,236 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ diarization error rate total correct correct false alarm false alarm missed detection missed detection confusion confusion
2
+ % % % % %
3
+ item
4
+ aepyx 12.19 148.29 136.76 92.22 6.55 4.42 5.79 3.90 5.74 3.87
5
+ aggyz 9.35 249.56 232.19 93.04 5.97 2.39 0.83 0.33 16.54 6.63
6
+ aiqwk 14.74 177.68 161.77 91.04 10.27 5.78 3.09 1.74 12.82 7.21
7
+ aorju 11.19 1071.67 1000.40 93.35 48.68 4.54 19.98 1.86 51.29 4.79
8
+ auzru 3.05 508.70 500.70 98.43 7.53 1.48 3.79 0.74 4.21 0.83
9
+ bgvvt 12.52 1004.29 918.10 91.42 39.58 3.94 82.60 8.22 3.60 0.36
10
+ bidnq 21.11 1135.54 971.93 85.59 76.16 6.71 69.78 6.15 93.83 8.26
11
+ bjruf 20.19 372.33 317.26 85.21 20.10 5.40 34.53 9.27 20.54 5.52
12
+ bmsyn 32.69 602.19 481.16 79.90 75.84 12.59 64.60 10.73 56.43 9.37
13
+ bpzsc 9.27 1039.34 977.58 94.06 34.53 3.32 26.57 2.56 35.19 3.39
14
+ bvqnu 8.35 554.47 523.78 94.46 15.61 2.81 7.18 1.29 23.52 4.24
15
+ bvyvm 7.11 105.16 99.24 94.37 1.56 1.48 5.92 5.63 0.00 0.00
16
+ bxcfq 2.17 201.38 198.56 98.60 1.56 0.77 2.24 1.11 0.58 0.29
17
+ byapz 12.75 417.79 371.00 88.80 6.50 1.55 9.63 2.31 37.15 8.89
18
+ cadba 16.14 178.78 155.50 86.98 5.57 3.12 3.27 1.83 20.01 11.19
19
+ cawnd 7.37 1144.16 1090.26 95.29 30.37 2.65 21.61 1.89 32.29 2.82
20
+ clfcg 18.63 274.25 234.01 85.33 10.85 3.96 7.68 2.80 32.56 11.87
21
+ cpebh 0.55 647.66 646.56 99.83 2.47 0.38 1.10 0.17 0.00 0.00
22
+ cqfmj 8.27 108.64 101.34 93.28 1.68 1.55 7.20 6.62 0.10 0.10
23
+ crorm 8.40 871.86 799.02 91.65 0.40 0.05 72.83 8.35 0.01 0.00
24
+ crylr 34.44 155.86 111.32 71.42 9.13 5.86 6.03 3.87 38.51 24.71
25
+ cvofp 8.55 1096.36 1054.13 96.15 51.47 4.70 36.48 3.33 5.75 0.52
26
+ cwbvu 24.05 144.13 111.30 77.22 1.83 1.27 25.01 17.35 7.82 5.43
27
+ dgvwu 10.25 775.26 720.25 92.90 24.48 3.16 31.98 4.12 23.03 2.97
28
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228
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230
+ zowse 11.84 1037.54 1001.27 96.50 86.59 8.35 8.53 0.82 27.73 2.67
231
+ zqidv 13.25 723.78 648.38 89.58 20.53 2.84 31.81 4.40 43.59 6.02
232
+ zsgto 7.40 1086.64 1057.58 97.33 51.31 4.72 13.57 1.25 15.49 1.43
233
+ zzsba 9.55 1075.02 1028.60 95.68 56.20 5.23 12.58 1.17 33.83 3.15
234
+ zztbo 4.88 54.72 53.39 97.57 1.34 2.46 1.33 2.43 0.00 0.00
235
+ zzyyo 12.90 1120.70 1047.39 93.46 71.22 6.36 27.54 2.46 45.77 4.08
236
+ TOTAL 11.29 144788.60 134353.98 92.79 5905.56 4.08 4914.01 3.39 5520.60 3.81
reproducible_research/VoxConverse.SpeakerDiarization.Benchmark.test.rttm ADDED
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requirements.txt ADDED
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1
+ pyannote-audio==3.1.1