Accurate estimation of sinusoidal parameters in an harmonic+noise model for speech synthesis
نویسنده
چکیده
We present here an Harmonic+Noise Model (HNM) for speech synthesis. The noise part is represented by an autoregressive model whose output is pitchsynchronously modulated in energy. The harmonic part of the signal is represented by a sinusoidal model. This paper compares di erent methods for separating these two components. We then propose a method for the estimation of the sinusoidal parameters derived from the ABS model [8] and evaluate di erent models for the analysis/synthesis of the stochastic part proposed in the literature.
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