Muskits-ESPnet: A Comprehensive Toolkit for Singing Voice Synthesis in New Paradigm

Fuente: arXiv
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Hauptverfasser: Wu, Yuning, Shi, Jiatong, Yu, Yifeng, Tang, Yuxun, Qian, Tao, Lin, Yueqian, Han, Jionghao, Bai, Xinyi, Watanabe, Shinji, Jin, Qin
Format: Preprint
Veröffentlicht: 2024
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author Wu, Yuning
Shi, Jiatong
Yu, Yifeng
Tang, Yuxun
Qian, Tao
Lin, Yueqian
Han, Jionghao
Bai, Xinyi
Watanabe, Shinji
Jin, Qin
author_facet Wu, Yuning
Shi, Jiatong
Yu, Yifeng
Tang, Yuxun
Qian, Tao
Lin, Yueqian
Han, Jionghao
Bai, Xinyi
Watanabe, Shinji
Jin, Qin
contents This research presents Muskits-ESPnet, a versatile toolkit that introduces new paradigms to Singing Voice Synthesis (SVS) through the application of pretrained audio models in both continuous and discrete approaches. Specifically, we explore discrete representations derived from SSL models and audio codecs and offer significant advantages in versatility and intelligence, supporting multi-format inputs and adaptable data processing workflows for various SVS models. The toolkit features automatic music score error detection and correction, as well as a perception auto-evaluation module to imitate human subjective evaluating scores. Muskits-ESPnet is available at \url{https://github.com/espnet/espnet}.
format Preprint
id arxiv_https___arxiv_org_abs_2409_07226
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Muskits-ESPnet: A Comprehensive Toolkit for Singing Voice Synthesis in New Paradigm
Wu, Yuning
Shi, Jiatong
Yu, Yifeng
Tang, Yuxun
Qian, Tao
Lin, Yueqian
Han, Jionghao
Bai, Xinyi
Watanabe, Shinji
Jin, Qin
Sound
Audio and Speech Processing
This research presents Muskits-ESPnet, a versatile toolkit that introduces new paradigms to Singing Voice Synthesis (SVS) through the application of pretrained audio models in both continuous and discrete approaches. Specifically, we explore discrete representations derived from SSL models and audio codecs and offer significant advantages in versatility and intelligence, supporting multi-format inputs and adaptable data processing workflows for various SVS models. The toolkit features automatic music score error detection and correction, as well as a perception auto-evaluation module to imitate human subjective evaluating scores. Muskits-ESPnet is available at \url{https://github.com/espnet/espnet}.
title Muskits-ESPnet: A Comprehensive Toolkit for Singing Voice Synthesis in New Paradigm
topic Sound
Audio and Speech Processing
url https://arxiv.org/abs/2409.07226