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- ---
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- license: mit
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- ---
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-
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- <h1 align="center">
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- UTMOSv2: UTokyo-SaruLab MOS Prediction System
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- </h1>
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-
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-
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- <div align="center">
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- <a href="https://github.com/sarulab-speech/UTMOSv2">
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- <img src="https://img.shields.io/badge/dynamic/json.svg?label=GitHub&logo=github&style=flat&url=https://api.github.com/repos/sarulab-speech/UTMOSv2&query=$.stargazers_count&prefix=Stars%20&labelColor=181717" alt="GitHub"/>
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- </a>
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- </div>
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-
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-
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- <div align="center">
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- <a target="_blank" href="https://huggingface.co/spaces/sarulab-speech/UTMOSv2">
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- <img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue" alt="Hugging Face Spaces"/>
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- </a>
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- <a target="_blank" href="https://colab.research.google.com/github/sarulab-speech/UTMOSv2/blob/main/quickstart.ipynb">
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- <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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- </a>
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- </div>
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-
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- <div align="center">
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- <a target="_blank" href="http://arxiv.org/abs/2409.09305">
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- <img src="https://img.shields.io/badge/arXiv-2409.09305-b31b1b.svg" alt="arXiv"/>
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- </a>
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- <a target="_blank" href="https://github.com/sarulab-speech/UTMOSv2/blob/main/poster.pdf">
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- <img src="https://img.shields.io/badge/IEEE%20SLT%202024-Poster-blue.svg" alt="poster"/>
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- </a>
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- </div>
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-
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- <br>
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-
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- For more details, please refer to our GitHub repository:
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- <a href="https://github.com/sarulab-speech/UTMOSv2">
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- <sub>
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- <img align=top src="https://img.shields.io/badge/dynamic/json.svg?label=GitHub&logo=github&style=flat&url=https://api.github.com/repos/sarulab-speech/UTMOSv2&query=$.stargazers_count&prefix=Stars%20&labelColor=181717" alt="GitHub"/>
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- </sub>
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- </a>
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-
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- <br>
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-
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-
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- <h2 align="left">
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- <div>🔖 Citation</div>
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- </h2>
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-
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- ```bibtex
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- @inproceedings{baba2024utmosv2,
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- title = {The T05 System for The {V}oice{MOS} {C}hallenge 2024: Transfer Learning from Deep Image Classifier to Naturalness {MOS} Prediction of High-Quality Synthetic Speech},
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- author = {Baba, Kaito and Nakata, Wataru and Saito, Yuki and Saruwatari, Hiroshi},
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- booktitle = {IEEE Spoken Language Technology Workshop (SLT)},
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- year = {2024},
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- }
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- ```
 
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+ ---
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+ license: mit
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+ ---
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+
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+
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+ <h1>UTMOSv2: UTokyo-SaruLab MOS Prediction System</h1>
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+
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+
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+ <table align="center">
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+ <tr>
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+ <td>
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+ <a href="https://github.com/sarulab-speech/UTMOSv2">
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+ <img src="https://img.shields.io/badge/dynamic/json.svg?label=GitHub&logo=github&style=flat&url=https://api.github.com/repos/sarulab-speech/UTMOSv2&query=$.stargazers_count&prefix=Stars%20&labelColor=181717" alt="GitHub"/>
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+ </a>
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+ </td>
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+ <td>
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+ <a href="https://huggingface.co/spaces/sarulab-speech/UTMOSv2">
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+ <img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue" alt="Hugging Face Spaces"/>
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+ </a>
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+ </td>
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+ <td>
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+ <a target="_blank" href="http://arxiv.org/abs/2409.09305">
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+ <img src="https://img.shields.io/badge/arXiv-2409.09305-b31b1b.svg" alt="arXiv"/>
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+ </a>
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+ </td>
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+ <td>
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+ <a target="_blank" href="https://github.com/sarulab-speech/UTMOSv2/blob/main/poster.pdf">
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+ <img src="https://img.shields.io/badge/IEEE%20SLT%202024-Poster-blue.svg" alt="poster"/>
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+ </a>
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+ </td>
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+ <td>
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+ <a href="https://colab.research.google.com/github/sarulab-speech/UTMOSv2/blob/main/quickstart.ipynb">
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+ <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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+ </a>
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+ </td>
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+ </tr>
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+ </table>
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+
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+
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+ For more details, please refer to our GitHub repository: https://github.com/sarulab-speech/UTMOSv2
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+
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+
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+ ## 🔖 Citation
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+
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+ ```bibtex
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+ @inproceedings{baba2024utmosv2,
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+ title = {The T05 System for The {V}oice{MOS} {C}hallenge 2024: Transfer Learning from Deep Image Classifier to Naturalness {MOS} Prediction of High-Quality Synthetic Speech},
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+ author = {Baba, Kaito and Nakata, Wataru and Saito, Yuki and Saruwatari, Hiroshi},
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+ booktitle = {IEEE Spoken Language Technology Workshop (SLT)},
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+ year = {2024},
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+ }
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+ ```