DocumentCode :
336987
Title :
An improved residual-domain phase/amplitude model for sinusoidal coding of speech at very low bit rates: a variable rate scheme
Author :
Ahmadi, Sassan
Author_Institution :
Nokia Mobile Phones Inc., San Diego, CA, USA
Volume :
4
fYear :
1999
fDate :
15-19 Mar 1999
Firstpage :
2291
Abstract :
An improved harmonic sinusoidal model is presented, where the underlying sine wave amplitudes and phases are efficiently represented using a combination of linear prediction, linear phase alignment, all-pass filtering, and spectral sampling in the residual-domain. The analysis and synthesis systems are introduced and the derivation and encoding of each model parameter is discussed. Performance analysis on a large database indicates effective modeling of the sinusoidal parameters. A variable-rate sinusoidal coder operating at an average bit rate of 1.75 kbps, based on the proposed model, has been developed, yielding reproduced speech of good quality, intelligibility, and naturalness. The proposed model may find applications in low bit rate speech coding in high capacity wireless communication systems
Keywords :
all-pass filters; filtering theory; linear predictive coding; signal sampling; spectral analysis; speech coding; speech intelligibility; 1.75 kbit/s; all-pass filtering; analysis systems; average bit rate; database; harmonic sinusoidal model; high capacity wireless communication systems; linear phase alignment; linear prediction; low bit rate speech coding; model parameter; performance analysis; residual-domain; residual-domain phase/amplitude model; sine wave amplitudes; sine wave phases; sinusoidal coding; sinusoidal parameters; spectral sampling; speech intelligibility; speech naturalness; speech quality; synthesis systems; variable-rate sinusoidal coder; Bit rate; Databases; Encoding; Filtering; Nonlinear filters; Performance analysis; Power harmonic filters; Predictive models; Sampling methods; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.758395
Filename :
758395
Link To Document :
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