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@@ -55,19 +55,12 @@ This repository contains the official WenetSpeech-Wu dataset, the WenetSpeech-Wu
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  <div align="center"><img width="800px" src="https://github.com/ASLP-lab/WenetSpeech-Wu-Repo/blob/main/figs/overview2.png?raw=true?raw=true" /></div>
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  <br>
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- ## 📢 Demo Page
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- The demo page provides audio data samples, ASR and TTS leaderboards, and the TTS samples.
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- 👉 **Demo:** [Demo Page](https://hujingbin1.github.io/WenetSpeechWu-Demo-Page-Public/)
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  ## Download
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- * The WenetSpeech-Wu dataset will be available at [WenetSpeech-Wu](https://huggingface.co/datasets/ASLP-lab/WenetSpeech-Wu).
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- * The WenetSpeech-Wu benchmark will be available at [WenetSpeech-Wu-Bench](https://huggingface.co/datasets/ASLP-lab/WenetSpeech-Wu-Bench).
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- * The ASR and understanding models will be available at [WSWu-Understanding](https://huggingface.co/ASLP-lab/WenetSpeech-Wu-Speech-Understanding).
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- * The TTS and instruct TTS models will be available at [WSWu-Generation](https://huggingface.co/ASLP-lab/WenetSpeech-Wu-Speech-Generation).
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@@ -688,8 +681,8 @@ for i, j in enumerate(cosyvoice_pro.inference_instruct2(pro_text, '这是一位
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  ## Contributors
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- | <img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/colleges/nwpu.png?raw=true" width="200px"> | <img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/aishelltech.png?raw=true" width="200px"> | <img src="https://github.com/ASLP-lab/WenetSpeech-Wu-Repo/blob/main/figs/wenet.png?raw=true" width="200px"> | <img src="https://github.com/ASLP-lab/WenetSpeech-Wu-Repo/blob/main/figs/XJTLU_Logo.jpg?raw=true" width="200px"> |
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- | ---- | ---- | ---- | ---- |
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  ## Citation
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  Please cite our paper if you find this work useful:
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  ```
 
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  <div align="center"><img width="800px" src="https://github.com/ASLP-lab/WenetSpeech-Wu-Repo/blob/main/figs/overview2.png?raw=true?raw=true" /></div>
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  <br>
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  ## Download
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+ * The WenetSpeech-Wu dataset are available at [WenetSpeech-Wu](https://huggingface.co/datasets/ASLP-lab/WenetSpeech-Wu).
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+ * The WenetSpeech-Wu benchmark are available at [WenetSpeech-Wu-Bench](https://huggingface.co/datasets/ASLP-lab/WenetSpeech-Wu-Bench).
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+ * The ASR and understanding models are available at [WSWu-Understanding](https://huggingface.co/ASLP-lab/WenetSpeech-Wu-Speech-Understanding).
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+ * The TTS and instruct TTS models are available at [WSWu-Generation](https://huggingface.co/ASLP-lab/WenetSpeech-Wu-Speech-Generation).
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  ## Contributors
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+ | <img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/colleges/nwpu.png?raw=true" width="200px"> | <img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/aishelltech.png?raw=true" width="200px"> | <img src="https://github.com/ASLP-lab/WenetSpeech-Wu-Repo/blob/main/figs/moonai.jpg?raw=true" width="200px"> | <img src="https://github.com/ASLP-lab/WenetSpeech-Wu-Repo/blob/main/figs/wenet.png?raw=true" width="200px"> | <img src="https://github.com/ASLP-lab/WenetSpeech-Wu-Repo/blob/main/figs/XJTLU_Logo.jpg?raw=true" width="200px"> |
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+ | ---- | ---- | ---- | ---- |---- |
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  ## Citation
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  Please cite our paper if you find this work useful:
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  ```