5th European Conference on Speech Communication and Technology

Rhodes, Greece
September 22-25, 1997

Relevant Spectral Information for the Identification of Vowel Features from Bursts

Anne Bonneau

CRIN-CNRS & INRIA Lorraine, Batiment LORIA,Vandoeuvre-l` es-Nancy, France

This paper presents a first attempt to extract relevant spectral information for the identification of the following vocalic context from French stop bursts. For this purpose, we studied the acoustic spectra of bursts used in a perceptual experiment which showed that listeners were able to identify vocalic features from bursts [1]. The corpus was made up of stimuli of 20-25 ms duration extracted from natural monosyllabic words which combined the initial stops /p,t,k/ with the vowels /i,a,u/. The low frequency limit of the frication noise as well as the frequency of the most prominent peak of the burst appeared to be very interesting cues for the identification of the vocalic context. Using these cues, most of contexts (/i/ from /t,k/, /u/ from /p,k/ and /a/ from /p,t/) have been very well classified without specification of the consonant.

Full Paper

Bibliographic reference.  Bonneau, Anne (1997): "Relevant spectral information for the identification of vowel features from bursts", In EUROSPEECH-1997, 2139-2142.