JOURNAL ARTICLE

Development and Perceptual Evaluation of Amplitude-Based F0 Control in Electrolarynx Speech

Yoko SaikachiKenneth N. StevensRobert E. Hillman

Year: 2009 Journal:   Journal of Speech Language and Hearing Research Vol: 52 (5)Pages: 1360-1369   Publisher: American Speech–Language–Hearing Association

Abstract

Purpose Current electrolarynx (EL) devices produce a mechanical speech quality that has been largely attributed to the lack of natural fundamental frequency (F0) variation. In order to improve the quality of EL speech, in the present study the authors aimed to develop and evaluate an automatic F0 control scheme, in which F0 was modulated based on variations in the root-mean-square (RMS) amplitude of the EL speech signal. Method Recordings of declarative sentences produced by 2 male participants before and after total laryngectomy were used to develop procedures for calculating F0 contours for EL speech. Specifically, the positive linear relationship between F0 and RMS amplitude observed in pre-laryngectomy speech was used as the basis for generating an F0 contour based on the amplitude variation of EL speech. An analysis-by-synthesis approach was used to modify the F0 contour, and a perceptual experiment was conducted to examine its impact on the quality of the EL speech. Results The results of perceptual experiments showed that modulating the F0 of EL speech using a linear relationship between amplitude and frequency made it significantly more natural sounding than EL speech with constant F0. Conclusions The current study provides preliminary support for amplitude-based control of F0 in EL speech.

Keywords:
Speech recognition Amplitude Perception Duration (music) Speech perception Quality (philosophy) Computer science Laryngectomy Speech processing Fundamental frequency Speech production Acoustics Audiology Psychology Larynx Physics Medicine

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44
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Citation History

Topics

Voice and Speech Disorders
Health Sciences →  Medicine →  Physiology
Phonetics and Phonology Research
Social Sciences →  Psychology →  Experimental and Cognitive Psychology
Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence

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