Fanbo Meng, Ruimin Wang, Peng Fang, Shuangyuan Zou, Wenjun Duan, Ming Zhou, Kai Liu, Wei Chen
{"title":"The Sogou System for Blizzard Challenge 2020","authors":"Fanbo Meng, Ruimin Wang, Peng Fang, Shuangyuan Zou, Wenjun Duan, Ming Zhou, Kai Liu, Wei Chen","doi":"10.21437/vcc_bc.2020-8","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce the text-to-speech system from Sogou team submitted to Blizzard Challenge 2020. The goal of this year’s challenge is to build a natural Mandarin Chinese speech synthesis system from the 10-hours corpus by a native Chinese male speaker. We will discuss the major modules of the submitted system: (1) the front-end module to analyze the pronunciation and prosody of text; (2) the FastSpeech-based sequence-to-sequence acoustic model to predict acoustic features; (3) the WaveRNN based neural vocoder to reconstruct waveforms. Evaluation results provided by the challenge organizer are also discussed","PeriodicalId":355114,"journal":{"name":"Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21437/vcc_bc.2020-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we introduce the text-to-speech system from Sogou team submitted to Blizzard Challenge 2020. The goal of this year’s challenge is to build a natural Mandarin Chinese speech synthesis system from the 10-hours corpus by a native Chinese male speaker. We will discuss the major modules of the submitted system: (1) the front-end module to analyze the pronunciation and prosody of text; (2) the FastSpeech-based sequence-to-sequence acoustic model to predict acoustic features; (3) the WaveRNN based neural vocoder to reconstruct waveforms. Evaluation results provided by the challenge organizer are also discussed