Defining Laughter Context for Laughter Synthesis with Spontaneous Speech Corpus

In this paper, conversational laughter was synthesized by a statistical model-based speech synthesis framework using spontaneous speech corpora. The phonetic transcriptions of natural laughter in these corpora were annotated, and the context required to synthesize the laughter that accompanies speec...

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Veröffentlicht in:	IEEE transactions on affective computing 2020-07, Vol.11 (3), p.553-559
Hauptverfasser:	Nagata, Tomohiro, Mori, Hiroki
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustics Context Context modeling Hidden Markov models HMM-based speech synthesis Laughter Man-machine systems Phonetics Speech Speech recognition Speech sounds Speech synthesis spontaneous speech corpus Statistical models Synthesis
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