Developments in Corpus-Based Speech Synthesis : Approaching Natural Conversational Speech(Feature Extraction and Acoustic Medelings, <Special Section>Corpus-Based Speech Technologies)

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概要

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• This paper describes the special demands of conversational speech in the context of corpus-based speech synthesis. The author proposed the CHATR system of prosody-based unit-selection for concatenative waveform synthesis seven years ago, and now extends this work to incorporate the results of an analysis of five-years of recordings of spontaneous conversational speeech in a wide range of actual daily-life situations. The paper proposes that the expresion of affect (often translated as 'kansei' in Japanese) is the main factor differentiating laboratory speech from realworld conversational speech, and presents a framework for the specification of affect through differences in speaking style and voice quality. Having an enormous corpus of speech samples available for concatenation allows the selection of complete phrase-sized utterance segments, and changes the focus of unit selection from segmental or phonetic continuity to one of prosodic and discoursal appropriateness instead. Samples of the resulting large-corpus-based synthesis can be heard at http://feast.his.atr.jp/AESOP.

• 社団法人電子情報通信学会の論文
• 2005-03-01

著者

• Campbell Nick

  Department Of Emergent Communication Of The Atr Network Informatics Laboratories

関連論文

• Developments in Corpus-Based Speech Synthesis : Approaching Natural Conversational Speech(Feature Extraction and Acoustic Medelings, Corpus-Based Speech Technologies)

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