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README.md
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README.md
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<h2><center>IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System</h2>
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<p align="center">
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<a href='https://arxiv.org/abs/2502.05512'><img src='https://img.shields.io/badge/ArXiv--red'></a>
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<a href='https://arxiv.org/abs/2502.05512'><img src='https://img.shields.io/badge/ArXiv-2502.05512-red'></a>
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## 👉🏻 IndexTTS 👈🏻
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@ -39,131 +39,32 @@ The main improvements and contributions are summarized as follows:
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## 📑 Evaluation
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**Word Error Rate (WER) and Speaker Similarity (SS) Results for IndexTTS and Baseline Models**
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**Word Error Rate (WER) Results for IndexTTS and Baseline Models**
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| **Model** | **aishell1_test** | **commonvoice_20_test_zh** | **commonvoice_20_test_en** | **librispeech_test_clean** | **avg** |
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|:---------------:|:-----------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------:|
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| **Human** | 2.0 | 9.5 | 10.0 | 2.4 | 5.1 |
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| **CosyVoice 2** | 1.8 | 9.1 | 7.3 | 4.9 | 5.9 |
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| **F5TTS** | 3.9 | 11.7 | 5.4 | 7.8 | 8.2 |
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| **Fishspeech** | 2.4 | 11.4 | 8.8 | 8.0 | 8.3 |
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| **FireRedTTS** | 2.2 | 11.0 | 16.3 | 5.7 | 7.7 |
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| **XTTS** | 3.0 | 11.4 | 7.1 | 3.5 | 6.0 |
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| **IndexTTS** | **1.3** | **7.0** | **5.3** | **2.1** | **3.7** |
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**Speaker Similarity (SS) Results for IndexTTS and Baseline Models**
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| **Model** | **aishell1_test** | **commonvoice_20_test_zh** | **commonvoice_20_test_en** | **librispeech_test_clean** | **avg** |
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|:---------------:|:-----------------:|:--------------------------:|:--------------------------:|:--------------------------:|:---------:|
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| **Human** | 0.846 | 0.809 | 0.820 | 0.858 | 0.836 |
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| **CosyVoice 2** | **0.796** | 0.743 | 0.742 | **0.837** | **0.788** |
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| **F5TTS** | 0.743 | **0.747** | 0.746 | 0.828 | 0.779 |
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| **Fishspeech** | 0.488 | 0.552 | 0.622 | 0.701 | 0.612 |
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| **FireRedTTS** | 0.579 | 0.593 | 0.587 | 0.698 | 0.631 |
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| **XTTS** | 0.573 | 0.586 | 0.648 | 0.761 | 0.663 |
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| **IndexTTS** | 0.744 | 0.742 | **0.758** | 0.823 | 0.776 |
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<style type="text/css">
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.tg {border-collapse:collapse;border-spacing:0;}
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.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;
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overflow:hidden;padding:10px 5px;word-break:normal;}
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.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;
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font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}
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.tg .tg-c3ow{border-color:inherit;text-align:center;vertical-align:top}
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.tg .tg-7btt{border-color:inherit;font-weight:bold;text-align:center;vertical-align:top}
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</style>
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<table class="tg"><thead>
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<tr>
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<th class="tg-7btt" rowspan="2">Model</th>
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<th class="tg-7btt" colspan="2">aishell1_test</th>
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<th class="tg-7btt" colspan="2">commonvoice_20_test_zh</th>
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<th class="tg-7btt" colspan="2">commonvoice_20_test_en</th>
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<th class="tg-7btt" colspan="2">librispeech_test_clean</th>
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<th class="tg-7btt" colspan="2">avg</th>
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</tr>
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<tr>
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<th class="tg-7btt">CER(%)↓</th>
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<th class="tg-7btt">SS↑</th>
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<th class="tg-7btt">CER(%)↓</th>
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<th class="tg-7btt">SS↑</th>
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<th class="tg-7btt">WER(%)↓</th>
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<th class="tg-7btt">SS↑</th>
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<th class="tg-7btt">WER(%)↓</th>
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<th class="tg-7btt">SS↑</th>
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<th class="tg-7btt">CER(%)↓</th>
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<th class="tg-7btt">SS↑</th>
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</tr></thead>
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<tbody>
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<tr>
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<td class="tg-7btt">Human</td>
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<td class="tg-c3ow">2.0 </td>
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<td class="tg-c3ow">0.846</td>
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<td class="tg-c3ow">9.5 </td>
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<td class="tg-c3ow">0.809</td>
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<td class="tg-c3ow">10.0 </td>
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<td class="tg-c3ow">0.820</td>
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<td class="tg-c3ow">2.4 </td>
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<td class="tg-c3ow">0.858</td>
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<td class="tg-c3ow">5.1 </td>
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<td class="tg-c3ow">0.836</td>
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</tr>
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<tr>
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<td class="tg-7btt">CosyVoice 2</td>
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<td class="tg-c3ow">1.8 </td>
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<td class="tg-7btt">0.796</td>
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<td class="tg-c3ow">9.1 </td>
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<td class="tg-c3ow">0.743</td>
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<td class="tg-c3ow">7.3 </td>
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<td class="tg-c3ow">0.742</td>
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<td class="tg-c3ow">4.9 </td>
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<td class="tg-7btt">0.837</td>
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<td class="tg-c3ow">5.9 </td>
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<td class="tg-7btt">0.788</td>
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</tr>
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<tr>
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<td class="tg-7btt">F5TTS</td>
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<td class="tg-c3ow">3.9 </td>
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<td class="tg-c3ow">0.743</td>
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<td class="tg-c3ow">11.7 </td>
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<td class="tg-7btt">0.747</td>
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<td class="tg-c3ow">5.4 </td>
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<td class="tg-c3ow">0.746</td>
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<td class="tg-c3ow">7.8 </td>
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<td class="tg-c3ow">0.828</td>
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<td class="tg-c3ow">8.2 </td>
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<td class="tg-c3ow">0.779</td>
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</tr>
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<tr>
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<td class="tg-7btt">Fishspeech</td>
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<td class="tg-c3ow">2.4 </td>
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<td class="tg-c3ow">0.488</td>
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<td class="tg-c3ow">11.4 </td>
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<td class="tg-c3ow">0.552</td>
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<td class="tg-c3ow">8.8 </td>
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<td class="tg-c3ow">0.622</td>
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<td class="tg-c3ow">8.0 </td>
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<td class="tg-c3ow">0.701</td>
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<td class="tg-c3ow">8.3 </td>
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<td class="tg-c3ow">0.612</td>
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</tr>
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<tr>
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<td class="tg-7btt">FireRedTTS</td>
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<td class="tg-c3ow">2.2 </td>
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<td class="tg-c3ow">0.579</td>
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<td class="tg-c3ow">11.0 </td>
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<td class="tg-c3ow">0.593</td>
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<td class="tg-c3ow">16.3 </td>
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<td class="tg-c3ow">0.587</td>
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<td class="tg-c3ow">5.7 </td>
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<td class="tg-c3ow">0.698</td>
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<td class="tg-c3ow">7.7 </td>
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<td class="tg-c3ow">0.631</td>
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</tr>
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<tr>
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<td class="tg-7btt">XTTS</td>
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<td class="tg-c3ow">3.0 </td>
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<td class="tg-c3ow">0.573</td>
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<td class="tg-c3ow">11.4 </td>
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<td class="tg-c3ow">0.586</td>
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<td class="tg-c3ow">7.1 </td>
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<td class="tg-c3ow">0.648</td>
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<td class="tg-c3ow">3.5 </td>
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<td class="tg-c3ow">0.761</td>
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<td class="tg-c3ow">6.0 </td>
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<td class="tg-c3ow">0.663</td>
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</tr>
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<tr>
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<td class="tg-7btt">IndexTTS</td>
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<td class="tg-7btt">1.3 </td>
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<td class="tg-c3ow">0.744</td>
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<td class="tg-7btt">7.0 </td>
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<td class="tg-c3ow">0.742</td>
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<td class="tg-7btt">5.3 </td>
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<td class="tg-7btt">0.753</td>
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<td class="tg-7btt">2.1 </td>
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<td class="tg-c3ow">0.823</td>
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<td class="tg-7btt">3.7 </td>
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<td class="tg-c3ow">0.776</td>
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</tr>
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</tbody></table>
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**MOS Scores for Zero-Shot Cloned Voice**
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@ -183,13 +84,10 @@ The main improvements and contributions are summarized as follows:
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🌟 If you find our work helpful, please leave us a star and cite our paper.
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```
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@misc{deng2025indexttsindustriallevelcontrollableefficient,
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title={IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System},
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author={Wei Deng and Siyi Zhou and Jingchen Shu and Jinchao Wang and Lu Wang},
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year={2025},
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eprint={2502.05512},
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archivePrefix={arXiv},
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primaryClass={cs.SD},
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url={https://arxiv.org/abs/2502.05512},
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@article{deng2025indextts,
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title={IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System},
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author={Wei Deng, Siyi Zhou, Jingchen Shu, Jinchao Wang, Lu Wang},
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journal={arXiv preprint arXiv:2502.05512},
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year={2025}
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}
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```
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```
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