Automatic segmentation of speech

Author

Van Hemert, Jan P.

Author_Institution

Inst. for Perception Res., Eindhoven, Netherlands

Volume

39

Issue

4

fYear

1991

fDate

4/1/1991 12:00:00 AM

Firstpage

1008

Lastpage

1012

Abstract

A method for automatic segmentation of speech into phones is described. The incoming utterance is split up into more or less stationary parts, and these stationary parts are labelled as phones using the phonetic transcription of the utterance. An implicit segmentation algorithm splits up the utterance into segments on the basis of the degree of similarity between the frequency spectra of neighboring frames. An explicit algorithm does the same, but on the basis of the degree of similarity between the frequency spectra of the frames in the utterance and reference spectra. A combination algorithm compares the two segmentation results and produces the final segmentation. Automatically determined phone boundaries are compared with manually determined ones. The result of a perception test is described

Keywords

speech analysis and processing; automatic speech segmentation; combination algorithm; explicit algorithm; frequency spectra; implicit segmentation algorithm; perception test; phone boundaries; phonetic transcription; reference spectra; speech frames; utterance; Analysis of variance; Filter bank; Finite impulse response filter; Least squares methods; Mirrors; Noise generators; Quantization; Signal processing; Speech processing; Speech synthesis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.80941

Filename

80941