Literature DB >> 2373806

Plosive/fricative distinction: the voiceless case.

L F Weigelt1, S J Sadoff, J D Miller.   

Abstract

Using only three measures of the waveform, the zero-crossing rate, the logarithm of the root-mean-square (rms) energy, and the derivative of the log rms energy with respect to time [termed rate of rise (ROR)], voiceless plosives (including affricates) can be distinguished from voiceless fricatives in word-initial, medial, and final positions. Peaks in the ROR contour are considered for significance to the plosive/fricative distinction by examining the log rms energy and zero-crossing rate. Then, the magnitude of the first significant peak in the ROR contour is used as the primary classifier. The algorithm was tested on 1364 tokens (720 word-initial tokens produced by four female and four male speakers; 360 word-medial tokens produced by two males and two females; 320 word-final tokens produced by two males and two females). Data from two male and two female speakers (360 word-initial tokens) were used as a training set, and the remaining data were used as a test set. The overall rate of correct classification was 96.8%. Implications of this result are discussed.

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Year:  1990        PMID: 2373806     DOI: 10.1121/1.399063

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


  1 in total

1.  Automatic Analysis of Pronunciations for Children with Speech Sound Disorders.

Authors:  Shiran Dudy; Steven Bedrick; Meysam Asgari; Alexander Kain
Journal:  Comput Speech Lang       Date:  2017-12-27       Impact factor: 1.899

  1 in total

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