LP-TRAP: Linear predictive temporal patterns

Autoregressive modeling is applied for approximating the temporal evolution of spectral density in critical-band-sized sub-bands of a segment of speech signal. The generalized autocorrelation linear predictive technique allows for a compromise between fitting the peaks and the troughs of the Hilbert envelope of the signal in the sub-band. The cosine transform coefficients of the approximated sub-band envelopes, computed recursively from the all-pole polynomials, are used as inputs to a TRAP-based speech recognition system and are shown to improve recognition accuracy.


Published in:
International Conference on Spoken Language Processing (ICSLP)
Year:
2004
Keywords:
Note:
IDIAP RR 04-59
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

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