A HMM-Based Speech Synthesis System using a New Glottal Source and Vocal-Tract Separation Methods (with G. Degottex)
- This work introduces a HMM-based speech synthesis system which uses a new method for the separation of vocal-tract and Liljencrants-Fant model plus Noise (SVLN) proposed by G. Degottex.
- The glottal source is separated into two components: a deterministic glottal waveform Liljencrants-Fant model and a modulated Gaussian noise.
- This glottal source is first estimated and then used in the vocal-tract estimation procedure.
- Then, the parameters of the source and the vocal-tract are included into HMM contextual models of phonems.
- The synthesis results were subjectively evaluated here
- A HMM-Based Synthesis System Using a New Glottal Source and Vocal-Tract Separation Method,
P. Lanchantin, G. Degottex and X. Rodet,
ICASSP2010 Proceedings, Dallas, USA, 2010.
Transformation examples
- SVLN is promising for voice transformation in synthesis of expressive speech since it allows an independent control of vocal-tract and glottal-source properties.