2020暴雪挑战赛的搜狗系统

Fanbo Meng, Ruimin Wang, Peng Fang, Shuangyuan Zou, Wenjun Duan, Ming Zhou, Kai Liu, Wei Chen
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引用次数: 1

摘要

在本文中,我们介绍了搜狗团队提交给暴雪挑战赛2020的文本转语音系统。今年挑战赛的目标是由一名母语为汉语的男性从10小时的语料库中构建一个自然的汉语语音合成系统。我们将讨论提交系统的主要模块:(1)前端模块对文本进行语音韵律分析;(2)基于fastspeech的序列对序列声学模型预测声学特征;(3)基于WaveRNN的神经声码器重构波形。讨论了挑战赛组织者提供的评估结果
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The Sogou System for Blizzard Challenge 2020
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
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The Ajmide Text-To-Speech System for Blizzard Challenge 2020 The HITSZ TTS system for Blizzard challenge 2020 The SHNU System for Blizzard Challenge 2020 Submission from SRCB for Voice Conversion Challenge 2020 The UFRJ Entry for the Voice Conversion Challenge 2020
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