Text-to-Speech
English
Chinese
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  pipeline_tag: text-to-speech
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- This repository consists of models for objective evaluation of text-to-speech (TTS) models in [ZipVoice](https://arxiv.org/abs/2506.13053) and [ZipVoice-Dialog](https://arxiv.org/abs/2507.09318):
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  - **WER**: Includes [Hubert-based ASR model](https://huggingface.co/facebook/hubert-large-ls960-ft) for LibriSpeech-PC testset, [Paraformer-based ASR model](https://huggingface.co/funasr/paraformer-zh) for Chinese datasets, [Whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) model for general English test sets, [WhisperD](https://huggingface.co/jordand/whisper-d-v1a) model for English dialogue speech.
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  - **cpSIM**: A [speaker diarization model](https://huggingface.co/pyannote/speaker-diarization-3.1) is used along with the above wavlm-based model to compute concatenated maximum permutation speaker similarity ([cpSIM](https://arxiv.org/abs/2507.09318)).
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- - **UTMOS**: The mos prediction model [UTMOS](https://github.com/sarulab-speech/UTMOS22) is used.
 
 
 
 
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+ This repository contains models for the objective evaluation of text-to-speech (TTS) models.:
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  - **WER**: Includes [Hubert-based ASR model](https://huggingface.co/facebook/hubert-large-ls960-ft) for LibriSpeech-PC testset, [Paraformer-based ASR model](https://huggingface.co/funasr/paraformer-zh) for Chinese datasets, [Whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) model for general English test sets, [WhisperD](https://huggingface.co/jordand/whisper-d-v1a) model for English dialogue speech.
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  - **cpSIM**: A [speaker diarization model](https://huggingface.co/pyannote/speaker-diarization-3.1) is used along with the above wavlm-based model to compute concatenated maximum permutation speaker similarity ([cpSIM](https://arxiv.org/abs/2507.09318)).
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+ - **UTMOS**: The mos prediction model [UTMOS](https://github.com/sarulab-speech/UTMOS22) is used.
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+ For details of the evaluation metrics, see [ZipVoice](https://arxiv.org/abs/2506.13053) and [ZipVoice-Dialog](https://arxiv.org/abs/2507.09318).