Discrete-time signal processing
Discrete-time signal processing
Discrete-time speech signal processing: principles and practice
Discrete-time speech signal processing: principles and practice
Review: Statistical parametric speech synthesis
Speech Communication
Using a pitch-synchronous residual codebook for hybrid HMM/frame selection speech synthesis
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Pitch synchronous transform warping in voice conversion
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Complex cepstrum for statistical parametric speech synthesis
Speech Communication
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Conventional cepstral speech modeling is based on the minimum phase parametric speech production model with infinite impulse response. In that approach only the logarithmic magnitude frequency response of the corresponding speech frame is approximated. In this contribution the principle of the cepstral speech modeling using the complex cepstrum is described. The obtained mixed-phase vocal tract model with finite impulse response contains also the information about the phase properties of the modeled speech frame. This model approximates the speech signal with higher accuracy than the model based on the real cepstrum, the numerical complexity and the memory requirements are at least twice greater.