Automatic detection of syllabic nuclei using acoustic measures

G. Kawai, Jan Van Santen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper describes a method for detecting syllabic nuclei from English utterances on a frame-by-frame basis using bandpass-filtered acoustic energy measurements. No knowledge of the utterance's phonetic composition is used. In the training phase, phones in English utterances read by a female speaker were assigned rank-ordered sonority values. These sonority values were predicted using multiple linear regression where the predictor variables were bandpass-filtered acoustic energy values at the phone's central region. Results show that (1) syllabic nuclei are identified at over 60 percent accuracy, and (2) speech rate, defined as syllabic nuclei per unit time, is estimated at over 80 percent accuracy.

Original languageEnglish (US)
Title of host publicationProceedings of 2002 IEEE Workshop on Speech Synthesis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages39-42
Number of pages4
ISBN (Print)0780373952, 9780780373952
DOIs
StatePublished - 2002
Event2002 IEEE Workshop on Speech Synthesis - Santa Monica, United States
Duration: Sep 11 2002Sep 13 2002

Other

Other2002 IEEE Workshop on Speech Synthesis
CountryUnited States
CitySanta Monica
Period9/11/029/13/02

Keywords

  • sonority
  • speech energy
  • speech rate
  • syllabic nuclei

ASJC Scopus subject areas

  • Language and Linguistics
  • Cultural Studies

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  • Cite this

    Kawai, G., & Van Santen, J. (2002). Automatic detection of syllabic nuclei using acoustic measures. In Proceedings of 2002 IEEE Workshop on Speech Synthesis (pp. 39-42). [1224368] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSS.2002.1224368