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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.
|Title of host publication||INTERSPEECH 2012, 13th Annual Conference of the International Speech Communication Association|
|Subtitle of host publication||Portland, Oregon, USA September 9-13, 2012|
|Publisher||ISCA-INST SPEECH COMMUNICATION ASSOC|
|Number of pages||4|
|Publication status||Published - 2012|