CONF
marios-rr-04-59b/IDIAP
LP-TRAP: Linear predictive temporal patterns
Athineos, Marios
Hermansky, Hynek
Ellis, Daniel P. W.
EXTERNAL
https://publications.idiap.ch/attachments/reports/2004/rr04-59.pdf
PUBLIC
https://publications.idiap.ch/index.php/publications/showcite/marios-rr-04-59
Related documents
2004
IDIAP RR 04-59
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.
REPORT
marios-rr-04-59/IDIAP
LP-TRAP: Linear predictive temporal patterns
Athineos, Marios
Hermansky, Hynek
Ellis, Daniel P. W.
EXTERNAL
https://publications.idiap.ch/attachments/reports/2004/rr04-59.pdf
PUBLIC
Idiap-RR-59-2004
2004
IDIAP
Accepted for publication in ICSLP 2004
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.