cdminix commited on
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1 Parent(s): d8dc492

add eval set

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  1. src/texts.py +12 -1
src/texts.py CHANGED
@@ -45,7 +45,7 @@ EVALUATION_QUEUE_TEXT = """
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  ### 1) download the evaluation dataset
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  The evaluation dataset consists of wav / text pairs.
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- You can download it [here](https://huggingface.co/ttsds/eval).
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  The format of the dataset is as follows:
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  ```
@@ -57,6 +57,8 @@ eval/
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  ├── ...
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  ```
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  ### 2) create your TTS dataset
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  Create a dataset with your TTS model and the evaluation dataset.
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  Use the wav files as speaker reference and the text as the prompt.
@@ -68,4 +70,13 @@ Submit your dataset below.
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  CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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  CITATION_BUTTON_TEXT = r"""
 
 
 
 
 
 
 
 
 
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  """
 
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  ### 1) download the evaluation dataset
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  The evaluation dataset consists of wav / text pairs.
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+ You can download ``speaker_text_pairs.tar.gz`` from [here](https://huggingface.co/datasets/ttsds/speaker_text_pairs/blob/main/speaker_text_pairs.tar.gz).
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  The format of the dataset is as follows:
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  ```
 
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  ├── ...
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  ```
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+ Please note that the .wav file is the speaker reference and the .txt file is the prompt.
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+
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  ### 2) create your TTS dataset
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  Create a dataset with your TTS model and the evaluation dataset.
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  Use the wav files as speaker reference and the text as the prompt.
 
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  CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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  CITATION_BUTTON_TEXT = r"""
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+ @misc{minixhofer2024ttsds,
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+ title={TTSDS -- Text-to-Speech Distribution Score},
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+ author={Christoph Minixhofer and Ondřej Klejch and Peter Bell},
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+ year={2024},
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+ eprint={2407.12707},
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+ archivePrefix={arXiv},
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+ primaryClass={eess.AS},
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+ url={https://arxiv.org/abs/2407.12707},
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+ }
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  """