Title :
Identification of vowel features from French stop bursts
Author_Institution :
CNRS, Vandoeuvre-les-Nancy, France
Abstract :
Deals with the perception of vowels from French stop bursts. The corpus was made up of 90 stimuli of 20-25 ms duration extracted from natural CVC (consonant-vowel-consonant) and CV words. The syllables combined the initial stops /p,t,k/ with the vowels /i,a,u/. In order to cut off all traces of vocalic segment, bursts whose duration was too short were lengthened. Eight native speakers of French served as listeners in the experiment. The results showed that a burst onset which did not contain any traces of vocalic segment provided substantial vocalic information (the overall identification rate was 80%). The vowel /i/ was clearly identified from /t/ and /k/, and the vowel /u/ very clearly identified from /k/. The vowel /a/, with high identification rate, was often chosen in the absence of a clear vocalic timbre
Keywords :
hearing; speech intelligibility; French stop bursts; burst duration; burst onset; consonant-vowel-consonant words; identification rate; vocalic segment; vocalic timbre; vowel feature identification; Data mining; Databases; Signal processing; Speech recognition; Timbre; Virtual colonoscopy;
Conference_Titel :
Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-3555-4
DOI :
10.1109/ICSLP.1996.607322