Title :
Consonantal Recognition Using SVM and New Hierarchical Decision Structure Based in the Articulatory Phonetics
Author :
de Andrade Bresolin, A. ; Neto, Adrião Duarte D ; Alsina, Pablo Javier
Author_Institution :
Technol. Fed. Univ. of the Parana, Curitiba, Brazil
Abstract :
In this work, a new concept of making the consonantal recognition is proposed. We used several units (phonemes, diphones and syllables) to make the word recognition. This concept was carried out by a new hierarchical decision structure, based on the articulatory phonetics and SVM (support vector machine). The speech features used were MFCC (mel-frequency cepstral coefficient) and WPT (waveletpacket transform). Eighteen consonantal phonemes have been used in the recognition. The database used for the recognition was a set of two-syllable words of the Brazilian Portuguese language. The experimental results showed success rates of 98.41% for the user dependent case.
Keywords :
cepstral analysis; natural languages; speech processing; speech recognition; support vector machines; wavelet transforms; Brazilian Portuguese language; MFCC; SVM; WPT; articulatory phonetics; consonantal recognition; hierarchical decision structure; mel-frequency cepstral coefficient; speech features; support vector machine; waveletpacket transform; word recognition; Cepstral analysis; Mel frequency cepstral coefficient; Spatial databases; Speech recognition; Support vector machine classification; Support vector machines; Testing; Tongue; Wavelet packets; Wavelet transforms; SVM- Support Vector Machine; Speech Recognition; Wavelet Packet Transform;
Conference_Titel :
Multimedia, 2008. ISM 2008. Tenth IEEE International Symposium on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-0-7695-3454-1
Electronic_ISBN :
978-0-7695-3454-1
DOI :
10.1109/ISM.2008.61
