Adaptive signal models for wide-band speech and audio compression

Authors:
Pedro Vera-Candeas;Nicolás Ruiz-Reyes;Manuel Rosa-Zurera;Juan C. Cuevas-Martinez;Francisco López-Ferreras
Affiliations:
Electronics and Telecommunication Engineering Department, University of Jaén, Polytechnic School, Linares, Jaén, Spain;Electronics and Telecommunication Engineering Department, University of Jaén, Polytechnic School, Linares, Jaén, Spain;Signal Theory and Communications Department, University of Alcalá, Polytechnic School, Alcalá de Henares, Madrid, Spain;Electronics and Telecommunication Engineering Department, University of Jaén, Polytechnic School, Linares, Jaén, Spain;Signal Theory and Communications Department, University of Alcalá, Polytechnic School, Alcalá de Henares, Madrid, Spain
Venue:
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

Citing 2
Cited 1

A perceptually based audio signal model with application to scalable audio compression

A perceptually based audio signal model with application to scalable audio compression
Residual modeling in music analysis-synthesis

ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02

Adaptive signal modeling based on sparse approximations for scalable parametric audio coding

IEEE Transactions on Audio, Speech, and Language Processing

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Abstract

This paper deals with the application of adaptive signal models for parametric speech and audio compression. The matching pursuit algorithm is used for extracting sinusoidal components and transients in audio signals. The resulting residue is perceptually modelled as a noise like signal. When a transient is detected, psychoacoustic-adapted matching pursuits are accomplished using a wavelet-based dictionary followed of an harmonic one. Otherwise, matching pursuit is applied only to the harmonic dictionary. This multi-part model (Sines + Transients + Noise) is successfully applied for speech and audio coding purposes, assuring high perceptual quality at low bit rates (close to 16 kbps for most of the signals considered for testing).