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Spectral envelope estimation and regularization
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2006 (English)In: 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, 2006, 245-248 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.
Series
International Conference on Acoustics Speech and Signal Processing (ICASSP), ISSN 1520-6149
Identifiers
URN: urn:nbn:se:kth:diva-36123ISI: 000245559900062Scopus ID: 2-s2.0-33947644366OAI: oai:DiVA.org:kth-36123DiVA: diva2:430549
Conference
31st IEEE International Conference on Acoustics, Speech and Signal Processing Toulouse, FRANCE, MAY 14-19, 2006
Note
QC 20110711Available from: 2011-07-11 Created: 2011-07-08 Last updated: 2011-07-11Bibliographically approved

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