Articulatory Speech Synthesis for Natural User Interfaces

自然用户界面的发音合成

• 批准号: 463376-2014
• 负责人: Penn, Gerald
• 金额: $ 14.09万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=558382
• 关键词: Articulatory; Speech; Synthesis; Natural; User

For years, articulatory synthesis research has been largely overshadowed by formant-based and acoustic-based speech synthesis techniques. While successful in some domains (e.g., voice-based databases), these techniques still cannot produce natural looking and sounding speech from text from an arbitrary speaker. Natural looking and sounding speech technology is one of the next major milestones in voice-based interaction for natural user interfaces. Articulatory speech synthesis has progressed steadily at the fringes of both industrial and academic interest and is now poised to provide the necessary platform to overcome basic problems in speech production and, we believe, represents the next major advance in speech synthesis technology.

多年来，发音合成的研究在很大程度上被基于共振峰和基于声学的语音合成技术所掩盖。虽然在某些领域取得了成功（例如，基于语音的数据库），但是这些技术仍然不能从来自任意说话者的文本中产生看起来和听起来自然的语音。外观和声音自然的语音技术是自然用户界面中基于语音的交互的下一个主要里程碑之一。发音语音合成在工业界和学术界都取得了稳步的进展，现在正准备提供必要的平台来克服语音生产中的基本问题，我们相信，它代表了语音合成技术的下一个重大进展。