11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

Phase Equalization-Based Autoregressive Model of Speech Signals

Sadao Hiroya, Takemi Mochida

NTT Corporation, Japan

This paper presents a novel method for estimating a vocal-tract spectrum from speech signals, based on a modeling of excitation signals of voiced speech. A formulation of linear prediction coding with impulse train is derived and applied to the phase-equalized speech signals, which are converted from the original speech signals by phase equalization. Preliminary results show that the proposed method improves the robustness of the estimation of a vocal-tract spectrum and the quality of re-synthesized speech compared with the conventional method. This technique will be useful for speech coding, speech synthesis, and real-time speech conversion.

Full Paper

Bibliographic reference.  Hiroya, Sadao / Mochida, Takemi (2010): "Phase equalization-based autoregressive model of speech signals", In INTERSPEECH-2010, 42-45.