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Datasets:
zinc75
/
Vibravox_dummy

Tasks:
Audio-to-Audio
Automatic Speech Recognition
Audio Classification
Modalities:
Audio
Text
Formats:
parquet
Sub-tasks:
speaker-identification
Languages:
French
Size:
< 1K
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
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  ---
 
 
 
 
 
 
 
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  license: cc-by-4.0
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- task_categories:
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- - audio-to-audio
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- - automatic-speech-recognition
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- - audio-classification
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- - text-to-speech
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- task_ids:
9
- - speaker-identification
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  size_categories:
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- - 10K<n<100K
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  source_datasets: []
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- language:
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- - fr
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- multilinguality:
16
- - monolingual
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- language_creators:
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- - crowdsourced
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- - expert-generated
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- annotations_creators:
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- - expert-generated
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- pretty_name: 'VibraVox'
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  configs:
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- - config_name: ASR_Reference_microphone
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- data_files:
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- - split: train
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- path: "ASR_reference_mic/clean/train/*"
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- - split: val
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- path: "ASR_reference_mic/clean/val/*"
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- - split: test
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- path: "ASR_reference_mic/clean/test/*"
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- - config_name: ASR_Laryngophone
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- data_files:
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- - split: train
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- path: "train_ASR_laryngophone.tsv"
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- - split: val
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- path: "val_ASR_laryngophone.tsv"
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- - split: test
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- path: "test_ASR_laryngophone.tsv"
 
 
 
 
 
 
 
 
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  dataset_info:
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- - config_name: ASR_Reference_microphone
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- features:
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- - name: file_name
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- dtype: audio
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- - name: transcription
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- dtype: string
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- - name: sensor_id
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- dtype: string
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- - name: speaker_id
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- dtype: int64
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- - name: gender
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- dtype: string
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- - name: type
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- dtype: string
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- - name: gender
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- dtype: string
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- - name: split
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- dtype: string
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- - config_name: ASR_Laryngophone
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
60
  ---
 
1
  ---
2
+ annotations_creators:
3
+ - expert-generated
4
+ language_creators:
5
+ - crowdsourced
6
+ - expert-generated
7
+ language:
8
+ - fr
9
  license: cc-by-4.0
10
+ multilinguality:
11
+ - monolingual
 
 
 
 
 
12
  size_categories:
13
+ - 10K<n<100K
14
  source_datasets: []
15
+ task_categories:
16
+ - audio-to-audio
17
+ - automatic-speech-recognition
18
+ - audio-classification
19
+ - text-to-speech
20
+ task_ids:
21
+ - speaker-identification
22
+ pretty_name: VibraVox
 
 
23
  configs:
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+ - config_name: ASR_Headworn_mouth_microphone
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+ data_files:
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+ - split: train
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+ path: ASR_Headworn_mouth_microphone/train-*
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+ - split: validation
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+ path: ASR_Headworn_mouth_microphone/validation-*
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+ - split: test
31
+ path: ASR_Headworn_mouth_microphone/test-*
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+ - config_name: ASR_Laryngophone
33
+ data_files:
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+ - split: train
35
+ path: train_ASR_laryngophone.tsv
36
+ - split: val
37
+ path: val_ASR_laryngophone.tsv
38
+ - split: test
39
+ path: test_ASR_laryngophone.tsv
40
+ - config_name: ASR_Reference_microphone
41
+ data_files:
42
+ - split: train
43
+ path: ASR_reference_mic/clean/train/*
44
+ - split: val
45
+ path: ASR_reference_mic/clean/val/*
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+ - split: test
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+ path: ASR_reference_mic/clean/test/*
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  dataset_info:
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+ - config_name: ASR_Headworn_mouth_microphone
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+ features:
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+ - name: audio
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+ dtype: audio
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+ - name: transcription
54
+ dtype: string
55
+ - name: sensor_id
56
+ dtype: string
57
+ - name: speaker_id
58
+ dtype: string
59
+ - name: gender
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+ dtype: string
61
+ - name: type
62
+ dtype: string
63
+ - name: split
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+ dtype: string
65
+ splits:
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+ - name: train
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+ num_bytes: 5335254.0
68
+ num_examples: 8
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+ - name: validation
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+ num_bytes: 695227.0
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+ num_examples: 1
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+ - name: test
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+ num_bytes: 704461.0
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+ num_examples: 1
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+ download_size: 6633537
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+ dataset_size: 6734942.0
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+ - config_name: ASR_Laryngophone
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+ - config_name: ASR_Reference_microphone
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+ features:
80
+ - name: file_name
81
+ dtype: audio
82
+ - name: transcription
83
+ dtype: string
84
+ - name: sensor_id
85
+ dtype: string
86
+ - name: speaker_id
87
+ dtype: int64
88
+ - name: gender
89
+ dtype: string
90
+ - name: type
91
+ dtype: string
92
+ - name: gender
93
+ dtype: string
94
+ - name: split
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+ dtype: string
96
  ---