A Parametric Harmonic+noise Model

نویسنده

  • Gérard Bailly
چکیده

We present and evaluate here an Harmonic + Noise Model (HNM) for speech synthesis. The noise part is represented by an autoregressive model whose output is pitch-synchronously modulated in energy. The harmonic part of the signal is represented by a sum of harmonic sinusoids. This paper compares different methods for separating these two components. We then evaluate different models for the analysis/synthesis of each component.

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تاریخ انتشار 2002