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add eval set
Browse files- src/texts.py +12 -1
src/texts.py
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@@ -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
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The format of the dataset is as follows:
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```
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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.
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@@ -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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### 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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"""
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