Literature DB >> 8445120

Toward the simulation of emotion in synthetic speech: a review of the literature on human vocal emotion.

I R Murray1, J L Arnott.   

Abstract

There has been considerable research into perceptible correlates of emotional state, but a very limited amount of the literature examines the acoustic correlates and other relevant aspects of emotion effects in human speech; in addition, the vocal emotion literature is almost totally separate from the main body of speech analysis literature. A discussion of the literature describing human vocal emotion, and its principal findings, are presented. The voice parameters affected by emotion are found to be of three main types: voice quality, utterance timing, and utterance pitch contour. These parameters are described both in general and in detail for a range of specific emotions. Current speech synthesizer technology is such that many of the parameters of human speech affected by emotion could be manipulated systematically in synthetic speech to produce a simulation of vocal emotion; application of the literature to construction of a system capable of producing synthetic speech with emotion is discussed.

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Year:  1993        PMID: 8445120     DOI: 10.1121/1.405558

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  50 in total

1.  Emotion in speech: the acoustic attributes of fear, anger, sadness, and joy.

Authors:  C Sobin; M Alpert
Journal:  J Psycholinguist Res       Date:  1999-07

2.  Lexical and affective prosody in children with high-functioning autism.

Authors:  Ruth B Grossman; Rhyannon H Bemis; Daniela Plesa Skwerer; Helen Tager-Flusberg
Journal:  J Speech Lang Hear Res       Date:  2010-06       Impact factor: 2.297

3.  Resolution of lexical ambiguity by emotional tone of voice.

Authors:  Lynne C Nygaard; Erin R Lunders
Journal:  Mem Cognit       Date:  2002-06

4.  Talker-identification training using simulations of binaurally combined electric and acoustic hearing: generalization to speech and emotion recognition.

Authors:  Vidya Krull; Xin Luo; Karen Iler Kirk
Journal:  J Acoust Soc Am       Date:  2012-04       Impact factor: 1.840

5.  Vocal emotion recognition by normal-hearing listeners and cochlear implant users.

Authors:  Qian-Jie Fu; John J Galvin
Journal:  Trends Amplif       Date:  2007-12

6.  Perceiving affect from the voice and the face.

Authors:  D W Massaro; P B Egan
Journal:  Psychon Bull Rev       Date:  1996-06

7.  The perception of emotion and focus prosody with varying acoustic cues in cochlear implant simulations with varying filter slopes.

Authors:  Daan J van de Velde; Niels O Schiller; Vincent J van Heuven; Claartje C Levelt; Joost van Ginkel; Mieke Beers; Jeroen J Briaire; Johan H M Frijns
Journal:  J Acoust Soc Am       Date:  2017-05       Impact factor: 1.840

8.  Effect of fundamental-frequency and sentence-onset differences on speech-identification performance of young and older adults in a competing-talker background.

Authors:  Jae Hee Lee; Larry E Humes
Journal:  J Acoust Soc Am       Date:  2012-09       Impact factor: 1.840

9.  On Older Listeners' Ability to Perceive Dynamic Pitch.

Authors:  Jing Shen; Richard Wright; Pamela E Souza
Journal:  J Speech Lang Hear Res       Date:  2016-06-01       Impact factor: 2.297

10.  Voice Emotion Recognition by Children With Mild-to-Moderate Hearing Loss.

Authors:  Shauntelle A Cannon; Monita Chatterjee
Journal:  Ear Hear       Date:  2019 May/Jun       Impact factor: 3.570

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