Automatic detection of syllabic nuclei using acoustic measures

G. Kawai, J. Van Santen

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

2 Scopus citations


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.
Number of pages4
ISBN (Electronic)0780373952, 9780780373952
StatePublished - 2002
Externally publishedYes
Event2002 IEEE Workshop on Speech Synthesis - Santa Monica, United States
Duration: Sep 11 2002Sep 13 2002

Publication series

NameProceedings of 2002 IEEE Workshop on Speech Synthesis


Other2002 IEEE Workshop on Speech Synthesis
Country/TerritoryUnited States
CitySanta Monica


  • sonority
  • speech energy
  • speech rate
  • syllabic nuclei

ASJC Scopus subject areas

  • Language and Linguistics
  • Cultural Studies


Dive into the research topics of 'Automatic detection of syllabic nuclei using acoustic measures'. Together they form a unique fingerprint.

Cite this