Phase equalization-based autoregressive model of speech signals
Sadao Hiroya, Takemi Mochida · 2010
This paper presents a novel method for estimating a vocal-tract spectrum from speech signals, based on a modeling of excita-tion 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 estima-tion 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. Index Terms: LPC, vocal-tract spectrum, phase equalization 1.