Title :
A new sinusoidal phase modeling algorithm
Author :
Ahmadi, Sassan ; Spanias, Andreas S.
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
A new phase modeling algorithm for sinusoidal analysis and synthesis of speech signals is presented. Short-time sinusoidal phases are efficiently approximated by incorporating linear prediction, spectral sampling, delay compensation, and phase correction techniques. The algorithm is different 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
Keywords :
all-pass filters; compensation; filtering theory; linear predictive coding; phase estimation; signal sampling; spectral analysis; speech coding; speech processing; speech synthesis; transform coding; LPC; all-pass filter; delay compensation; large speech database; linear prediction; performance analysis; phase compensation; phase correction; reproduced speech quality; short-time sinusoidal phases; sinusoidal analysis; sinusoidal phase modeling algorithm; sinusoidal synthesis; spectral matching; spectral sampling; speech signals; subjective quality; temporal matching; transform coding; Algorithm design and analysis; Delay; Linear approximation; Linear predictive coding; Sampling methods; Signal analysis; Signal synthesis; Speech analysis; Speech synthesis; Transform coding;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.598834