ESPnet2 TTS pretrained model
kan-bayashi/ljspeech_joint_finetune_conformer_fastspeech2_hifigan
?? Imported from https://zenodo.org/record/5498896/
This model was trained by kan-bayashi using ljspeech/tts1 recipe in espnet.
Demo: How to use in ESPnet2
# coming soon
Citing ESPnet
@inproceedings{watanabe2018espnet,
author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson {Enrique Yalta Soplin} and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
title={{ESPnet}: End-to-End Speech Processing Toolkit},
year={2018},
booktitle={Proceedings of Interspeech},
pages={2207--2211},
doi={10.21437/Interspeech.2018-1456},
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
}
@inproceedings{hayashi2020espnet,
title={{Espnet-TTS}: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit},
author={Hayashi, Tomoki and Yamamoto, Ryuichi and Inoue, Katsuki and Yoshimura, Takenori and Watanabe, Shinji and Toda, Tomoki and Takeda, Kazuya and Zhang, Yu and Tan, Xu},
booktitle={Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={7654--7658},
year={2020},
organization={IEEE}
}
or arXiv:
@misc{watanabe2018espnet,
title={ESPnet: End-to-End Speech Processing Toolkit},
author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Enrique Yalta Soplin and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
year={2018},
eprint={1804.00015},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
數(shù)據(jù)統(tǒng)計(jì)
數(shù)據(jù)評(píng)估
本站OpenI提供的espnet/kan-bayashi_ljspeech_joint_finetune_conformer_fastspeech2_hifigan都來(lái)源于網(wǎng)絡(luò),不保證外部鏈接的準(zhǔn)確性和完整性,同時(shí),對(duì)于該外部鏈接的指向,不由OpenI實(shí)際控制,在2023年 5月 26日 下午6:12收錄時(shí),該網(wǎng)頁(yè)上的內(nèi)容,都屬于合規(guī)合法,后期網(wǎng)頁(yè)的內(nèi)容如出現(xiàn)違規(guī),可以直接聯(lián)系網(wǎng)站管理員進(jìn)行刪除,OpenI不承擔(dān)任何責(zé)任。
相關(guān)導(dǎo)航

Read It - Turn Your Newsletters and Articles Into A Podcast官網(wǎng)入口網(wǎng)址,Read It - Turn Your Newsletters and Articles Into A Podcast: Read It 是一個(gè)平臺(tái),利用先進(jìn)的文本到語(yǔ)音服務(wù)將簡(jiǎn)報(bào)和文章轉(zhuǎn)換成音頻。用戶(hù)可以在路上通過(guò)播客播放器收聽(tīng)他們喜歡的內(nèi)容。