DocumentCode
2223617
Title
Robustness of phoneme classification in different representation spaces
Author
Khoo, Lena ; Cvetkovic, Zoran ; Sollich, Peter
Author_Institution
Dept. of Math., King´s Coll. London, London, UK
fYear
2006
fDate
4-8 Sept. 2006
Firstpage
1
Lastpage
5
Abstract
The robustness of phoneme recognition using support vector machines to additive noise is investigated for three kinds of speech representation. The representations considered are PLP, PLP with RASTA processing, and a high-dimensional principal component approximation of acoustic waveforms. While the classification in the PLP and PLP/RASTA domains attains superb accuracy on clean data, the classification in the high-dimensional space proves to be much more robust to additive noise.
Keywords
noise; speech recognition; support vector machines; PLP/RASTA domains; additive noise; high-dimensional space; phoneme classification robustness; phoneme recognition robustness; representation spaces; speech representation; vector machines; Acoustics; Additives; Context; Europe; Noise; Speech; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2006 14th European
Conference_Location
Florence
ISSN
2219-5491
Type
conf
Filename
7071565
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