This paper describes an eigenvoice technique for an HMM-based speech synthesis system which can synthesize speech with various voice qualities. In the ...

Nov 8, 2023 · Statistical parametric speech synthesis which uses a hidden Markov model (HMM) as its generative model is typically called HMM-based speech ...

A statistical parametric speech synthesis system based on hid- den Markov models (HMMs) has grown in popularity over the last few years.

... Speaker adaptation techniques for Hidden Markov model based TTS (HMM-TTS) enable the creation of a target speaker's voice using a small amount of speech.

Feb 13, 2017 · In one approach, eigenvoice weights extracted using Turkish adaptation data and Turkish voice models are transformed into the eigenvoice weights ...

Think of eigenvoices as being a set of “axes” in some abstract “speaker space”. We can create a voice for any new speaker (ie, we can do speaker adaptation)

This paper describes an eigenvoice technique for an HMMbased speech synthesis system which can synthesize speech with various voice qualities.

Eigenvoices for HMM-based speech synthesis. Author. Japanese: kengo Shichiri, A. Sawabe, T. Yoshimura, K. Tokuda, T. Masuko, T. Kobayashi, T. Kitamura ...

clustering for HMM-based cross-lingual speech synthesis,” in Fifteenth ... Kitamura, “Eigenvoices for HMM-based speech synthesis,” in Seventh International ...

In one approach, eigenvoice weights extracted using Turkish adaptation data and Turkish voice models are transformed into the eigenvoice weights for the English ...