Wideband parametric speech synthesis using warped linear prediction
Tuomo Raitio, Antti Suni, Martti Vainio, Paavo Alku · 2012
This paper studies the use of warped linear prediction (WLP) for wideband parametric speech synthesis. As the sampling fre-quency is increased from the usual 16 kHz, linear frequency res-olution 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 paramet-ric speech synthesizer to efficiently create wideband synthetic speech. Experiments show that WLP-based wideband synthetic speech is rated better compared to narrowband speech and wide-band LP-based speech. Index Terms: statistical parametric speech synthesis, wide-band, warped linear prediction, WLP