Spectral envelope estimation and regularization
2006 (English)In: 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, 2006, 245-248 p.Conference paper (Refereed)
A well-known problem with linear prediction is that its estimate of the spectral envelope often has sharp peaks for high-pitch speakers. These peaks are anomalies resulting from contamination of the spectral envelope by the spectral fine structure. We investigate the method of regularized linear prediction to find a better estimate of the spectral envelope and compare the method to the commonly used approach of bandwidth expansion. We present simulations over voiced frames of female speakers from the TINUT database, where the envelope modeling accuracy is measured using a log spectral distortion measure. We also investigate the coding properties of the methods. The results indicate that the new regularized LP method is superior to bandwidth expansion, with an insignificant increase in computational complexity.
Place, publisher, year, edition, pages
2006. 245-248 p.
, International Conference on Acoustics Speech and Signal Processing (ICASSP), ISSN 1520-6149
IdentifiersURN: urn:nbn:se:kth:diva-36123ISI: 000245559900062ScopusID: 2-s2.0-33947644366OAI: oai:DiVA.org:kth-36123DiVA: diva2:430549
31st IEEE International Conference on Acoustics, Speech and Signal Processing Toulouse, FRANCE, MAY 14-19, 2006
QC 201107112011-07-112011-07-082011-07-11Bibliographically approved