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Detail publikace
BURGET, L., HERMANSKY, H.
Originální název
Data Driven Design of Filter Bank for Speech Recognition
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Filter bank approach is commonly used in feature extraction phase of speech recognition (e.g. Mel frequency cepstral coefficients). Filter bank is applied for modification of magnitude spectrum according to physiological and psychological findings. However, since mechanism of human auditory system is not fully understood,the optimal filter bank parameters are not known. This work presents a method where the filter bank, optimized for discriminability between phonemes, is derived directly from phonetically labeled speech data using Linear Discriminant Analysis. This work can be seen as another proof of the fact that incorporation of psychoacoustic findings into feature extraction can lead to better recognition performance.
Klíčová slova v angličtině
mel filterbank, speech recognition, linear discriminant analysis
Autoři
Rok RIV
2001
Vydáno
1. 9. 2001
Nakladatel
Springer Verlag
Místo
Zelezna Ruda
ISBN
3-540-42557-8
Kniha
Proc. 4th Intl. Conference Text, Speech Dialogue
Strany od
299
Strany do
304
Strany počet
6
BibTex
@{BUT70064 }