Title :
A new phase model for sinusoidal transform coding of speech
Author :
Ahmadi, Sassan ; Spanias, Andreas S.
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
fDate :
9/1/1998 12:00:00 AM
Abstract :
A phase modeling algorithm for sinusoidal analysis-synthesis of speech is presented, where short-time sinusoidal phases are approximated using a combination of linear prediction, spectral sampling, delay compensation, and phase correction techniques. The algorithm is different to phase compensation methods proposed for source-system LPC in that it has been tailored to sinusoidal representation of speech. Performance analysis on a large speech data base reveals an improvement in temporal and spectral signal matching, as well as in the subjective quality of reconstructed speech. The method can be applied to enhance phase matching in low bit rate sinusoidal coders, where underlying sine wave amplitudes are extracted from an all-pole model. Preliminary subjective results are presented for a 2.4 kb/s sinusoidal coder
Keywords :
delays; linear predictive coding; spectral analysis; speech coding; transform coding; 2.4 kbit/s; all-pole model; delay compensation; linear prediction; low bit rate sinusoidal coders; performance analysis; phase correction techniques; phase matching; phase model; phase modeling algorithm; reconstructed speech; short-time sinusoidal phases; sine wave amplitudes; sinusoidal analysis-synthesis; sinusoidal representation; sinusoidal transform coding; spectral sampling; spectral signal matching; subjective quality; temporal signal matching; Algorithm design and analysis; Delay; Frequency conversion; Linear predictive coding; Performance analysis; Predictive models; Sampling methods; Speech analysis; Speech coding; Transform coding;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
