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Regularized linear prediction of speech
KTH, Skolan för elektro- och systemteknik (EES), Ljud- och bildbehandling.
2008 (engelsk)Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

All-pole spectral envelope estimates based on linear prediction (LP) for speech signals often exhibit unnaturally sharp peaks, especially for high-pitch speakers. In this paper, regularization is used to penalize rapid changes in the spectral envelope, which improves the spectral envelope estimate. Based on extensive experimental evidence, we conclude that regularized linear prediction outperforms bandwidth-expanded linear prediction. The regularization approach gives lower spectral distortion on average, and fewer outliers, while maintaining a very low computational complexity.

sted, utgiver, år, opplag, sider
2008. Vol. 16, nr 1, s. 65-73
Emneord [en]
bandwidth expansion, envelope estimation, linear prediction (LP), regularization, speaker recognition, parameters, systems
Identifikatorer
URN: urn:nbn:se:kth:diva-17259DOI: 10.1109/tasl.2007.909448ISI: 000251947000007Scopus ID: 2-s2.0-64949193677OAI: oai:DiVA.org:kth-17259DiVA, id: diva2:335302
Merknad
QC 20100525Tilgjengelig fra: 2010-08-05 Laget: 2010-08-05bibliografisk kontrollert

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