%Aigaion2 BibTeX export from Idiap Publications %Thursday 21 November 2024 12:41:02 PM @INPROCEEDINGS{marios-rr-04-59b, author = {Athineos, Marios and Hermansky, Hynek and Ellis, Daniel P. W.}, projects = {Idiap}, title = {LP-TRAP: Linear predictive temporal patterns}, journal = {International Conference on Spoken Language Processing (ICSLP)}, year = {2004}, note = {IDIAP RR 04-59}, crossref = {marios-rr-04-59}, abstract = {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.}, pdf = {https://publications.idiap.ch/attachments/reports/2004/rr04-59.pdf}, postscript = {ftp://ftp.idiap.ch/pub/reports/2004/rr04-59.ps.gz}, ipdmembership={speech}, } crossreferenced publications: @TECHREPORT{marios-rr-04-59, author = {Athineos, Marios and Hermansky, Hynek and Ellis, Daniel P. W.}, projects = {Idiap}, title = {LP-TRAP: Linear predictive temporal patterns}, type = {Idiap-RR}, number = {Idiap-RR-59-2004}, year = {2004}, institution = {IDIAP}, note = {Accepted for publication in ICSLP 2004}, abstract = {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.}, pdf = {https://publications.idiap.ch/attachments/reports/2004/rr04-59.pdf}, postscript = {ftp://ftp.idiap.ch/pub/reports/2004/rr04-59.ps.gz}, ipdmembership={speech}, }