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LP-TRAP: Linear predictive temporal patterns

Athineos, Marios; Hermansky, Hynek; Ellis, Daniel P. W.

Autoregressive modeling is applied for approximating the temporal evolution of spectral density in critical-band-sized subbands 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.

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Title
INTERSPEECH 2004 - ICSLIP: Proceedings, 8th International Conference on Spoken Language Processing: October 4 - 8, 2004, International Convention Center Jeju, Jeju Island, Korea
Publisher
Sunjin Printing Co.

More About This Work

Academic Units
Electrical Engineering
Published Here
June 28, 2012