HF音频ai软件哪个比较好
espnet/kan-bayashi_csmsc_tts_train_tacotron2_raw_phn_pypinyin_g2p_phone_train.loss.best百度aiapp
Example ESPnet有戏ai2 TTS model
kan-bayashi/csmsc百度流畅ai制作_tts_train_tacotron2_raw_phn_pypinyin_g2p_phone_train.loss.best
♻️ Imported from https://zenodo.org/record/3969118/al一键脱装入口
This model was trained by kan-bayashi using csmsc/tts1 recipe in espnet.al一键脱装入口
Demo: How to use in ESPnet2
You first need to import the following packages快问ai
pip install torch
pip install espnet_model_zoo
Then start using it!ai分析软件
import soundfile
from espnet2.bin.tts_inference import Text2Speech
text2speech = Text2Speech.from_pretrained("espnet/kan-bayashi_csmsc_tts_train_tacotron2_raw_phn_pypinyin_g2p_phone_train.loss.best")
text = "春江潮水连海平,海上明月共潮生"
speech = text2speech(text)["wav"]
soundfile.write("out.wav", speech.numpy(), text2speech.fs, "PCM_16")
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:grok中文版下载
@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}
}
数据统计
数据评估
关于espnet/kan-bayashi_csmsc_tts_train_tacotron2_raw_phn_pypinyin_g2p_phone_train.loss.best特别声明
本站菠萝导航提供的espnet/kan-bayashi_csmsc_tts_train_tacotron2_raw_phn_pypinyin_g2p_phone_train.loss.best都来源于网络,不保证外部链接的准确性和完整性,同时,对于该外部链接的指向,不由菠萝导航实际控制,在2023年5月15日 下午3:17收录时,该网页上的内容,都属于合规合法,后期网页的内容如出现违规,可以直接联系网站管理员进行删除,菠萝导航不承担任何责任。即梦下载官方
相关导航
暂无评论...下载官方即梦a1

