A new sinusoidal phase modeling algorithm

Sassan Ahmadi and Andreas S. Spanias Department of Electrical Engineering Telecommunications Research Center Arizona State University Tempe, AZ 85287-7206 USA ABSTRACT A new phase modeling algorithm for sinusoidal analysis and synthesis of speech signals is presented. Short-time sinusoidal phases are e ciently approximated by incorporating linear prediction, spectral sampling, delay compensation, and phase correction techniques. The algorithm is di erent than phase compensation methods proposed for multi-pulse LPC in that it has been tailored to sinusoidal transform coding of speech signals. Performance analysis on a large speech database indicates considerable improvement in temporal and spectral matching between the original and reconstructed signals as compared to other sinusoidal phase models as well as improved subjective quality of the reproduced speech.