Přístupnostní navigace
E-application
Search Search Close
Publication detail
BURGET, L., HERMANSKY, H.
Original Title
Data Driven Design of Filter Bank for Speech Recognition
Type
conference paper
Language
English
Original Abstract
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.
Key words in English
mel filterbank, speech recognition, linear discriminant analysis
Authors
RIV year
2001
Released
1. 9. 2001
Publisher
Springer Verlag
Location
Zelezna Ruda
ISBN
3-540-42557-8
Book
Proc. 4th Intl. Conference Text, Speech Dialogue
Pages from
299
Pages to
304
Pages count
6
BibTex
@{BUT70064 }