A new speech coding model based on a least-squares sinusoidal representation

In recent years the concept of analysis-by-synthesis has been applied very successfully to improving the performance of LPC based models. At the same time, new speech models have been introduced based on representing speech by a sum of amplitude and frequency-modulated sinusoids which have been shown to successfully represent the non-linear, time-varying and quasi-periodic nature of speech. In this paper we present an approach to applying the analysis-by-synthesis technique to sinusoidal speech modelling in an attempt to increase the ability of the model to accurately represent the speech waveform.