Convolutional Pitch Target Approximation Model for Speech Synthesis
| Type of publication: | Idiap-RR |
| Citation: | Na_Idiap-RR-05-2013 |
| Number: | Idiap-RR-05-2013 |
| Year: | 2013 |
| Month: | 3 |
| Institution: | Idiap |
| Abstract: | In this paper, we investigate pitch contour modelling in speech synthesis based on segmental units. A convolutional pitch target approximation model is proposed. This model allows jointly stochastic modelling of framewise pitch and pitch contour of longer units, of which the intuitive relations are revealed by a convolutional target approximation filter. The pitch contour is stylized by a linear representation called pitch target. In synthesis stage, the likelihood of the framewise model and the pitch target model are jointly maximized using a Toeplitz matrix representing the discrete convolutional filter. |
| Keywords: | Pitch modelling, pitch target approximation, speech synthesis |
| Projects |
Idiap |
| Authors | |
| Added by: | [ADM] |
| Total mark: | 0 |
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