Wideband Parametric Speech Synthesis Using Warped Linear Prediction

Tuomo Raitio, Antti Suni, Martti Vainio, Paavo Alku

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper studies the use of warped linear prediction (WLP) for wideband parametric speech synthesis. As the sampling frequency is increased from the usual 16 kHz, linear frequency resolution of conventional linear prediction (LP) cannot efficiently model the speech spectrum. By using frequency warping that weights perceptually the most important formant information, spectral models with better accuracy and lower model orders can be utilized. In this work, WLP is embedded in a parametric speech synthesizer to efficiently create wideband synthetic speech. Experiments show thatWLP-based wideband synthetic speech is rated better compared to narrowband speech and wideband LP-based speech.
Original languageEnglish
Title of host publicationINTERSPEECH 2012, 13th Annual Conference of the International Speech Communication Association
Subtitle of host publication Portland, Oregon, USA September 9-13, 2012
PublisherISCA-INST SPEECH COMMUNICATION ASSOC
Number of pages4
Publication statusPublished - 2012

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