Academic Commons


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.


Also Published In

INTERSPEECH 2004 - ICSLIP: Proceedings, 8th International Conference on Spoken Language Processing: October 4 - 8, 2004, International Convention Center Jeju, Jeju Island, Korea

More About This Work

Academic Units
Electrical Engineering
Sunjin Printing Co.
Published Here
June 28, 2012
Academic Commons provides global access to research and scholarship produced at Columbia University, Barnard College, Teachers College, Union Theological Seminary and Jewish Theological Seminary. Academic Commons is managed by the Columbia University Libraries.