Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
High-resolution voice transformation
High-resolution voice transformation
Speech modeling using the complex cepstrum
Proceedings of the Third COST 2102 international training school conference on Toward autonomous, adaptive, and context-aware multimodal interfaces: theoretical and practical issues
Speech emotion modification using a cepstral vocoder
COST'09 Proceedings of the Second international conference on Development of Multimodal Interfaces: active Listening and Synchrony
Nonlinear Speech Modeling and Applications
COST'10 Proceedings of the 2010 international conference on Analysis of Verbal and Nonverbal Communication and Enactment
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In this paper a new voice conversion algorithm is presented, which transforms the utterance of a source speaker into the utterance of a target speaker. The voice conversion approach is based on pitch synchronous speech analysis, Discrete Cosine Transform (DCT), nonlinear spectral warping with spectrum interpolation and pitch synchronous speech synthesis with overlapping using the speech production model. The DCT speech model contains also information about the phase properties of the modeled speech frame, but is, in contrary to a model based e.g. on the discrete Fourier transform, a real model and can be efficiently used for speech coding and voice conversion. The resulting finite impulse response of the converted DCT speech model is obtained by the inverse DCT and it is of the mixed phase type. The proposed voice conversion procedure results in speech with high naturalness.