Web: http://arxiv.org/abs/2205.04421

May 11, 2022, 1:11 a.m. | Xu Tan, Jiawei Chen, Haohe Liu, Jian Cong, Chen Zhang, Yanqing Liu, Xi Wang, Yichong Leng, Yuanhao Yi, Lei He, Frank Soong, Tao Qin, Sheng Zhao, Tie-Y

cs.CL updates on arXiv.org arxiv.org

Text to speech (TTS) has made rapid progress in both academia and industry in
recent years. Some questions naturally arise that whether a TTS system can
achieve human-level quality, how to define/judge that quality and how to
achieve it. In this paper, we answer these questions by first defining the
human-level quality based on the statistical significance of subjective measure
and introducing appropriate guidelines to judge it, and then developing a TTS
system called NaturalSpeech that achieves human-level quality on …

arxiv human speech text

More from arxiv.org / cs.CL updates on arXiv.org

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC

Senior Data Science Writer

@ NannyML | Remote

Director of AI/ML Engineering

@ Armis Industries | Remote (US only), St. Louis, California

Digital Analytics Manager

@ Patagonia | Ventura, California