Discriminant linear processing of time-frequency plane

Extending previous works done on considerably smaller data sets, the paper studies linear discriminant analysis of about 30 hours of phoneme-labeled speech data in the time-frequency domain. Analysis is carried both independently in time and frequency and jointly. Data driven spectral basis show similar frequency sensitivity as human hearing. LDA-derived temporal FIR filters are consistent with temporal lateral inhibition. Considerable improvement is obtained using first temporal discriminant.


Presented at:
International Conference on Spoken Language Processing
Year:
2006
Note:
IDIAP-RR 06-20
Laboratories:




 Record created 2010-02-11, last modified 2018-03-17

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