Combining advanced sinusoidal and waveform matching models for parametric audio/speech coding

Author

Petrovsky, Alexey ; Azarov, Elias ; Petrovsky, Alexander

Author_Institution

Comput. Eng. Dept., Belarusian State Univ. of Inf. & Radioelectron., Minsk, Belarus

fYear

2009

fDate

24-28 Aug. 2009

Firstpage

436

Lastpage

440

Abstract

This paper presents two fundamental enhancements in a hybrid audio/speech signal model based on AM/FM and transient representation: sinusoidal, transient, and noise (STN) components. The first enhancement involves a method of instantaneous sinusoidal parameters estimation using an adaptive filtering of the speech signal along its harmonic components. The second and perhaps more significant STN enhancement is concerned with transient components modelling based on the matching pursuit with frame-based psychoacoustic optimized wavelet packet dictionary. It significantly reduces the number of coefficients required to achieve a given perceptual distortion.

Keywords

adaptive filters; audio coding; iterative methods; parameter estimation; signal representation; speech coding; wavelet transforms; AM-FM; STN components; STN enhancement; adaptive speech signal filtering; frame-based psychoacoustic optimized wavelet packet dictionary; fundamental enhancements; harmonic components; hybrid audio-speech signal model; instantaneous sinusoidal parameter estimation; matching pursuit; perceptual distortion; sinusoidal-transient-noise components; transient component modelling; transient representation; Adaptation models; Dictionaries; Matching pursuit algorithms; Noise; Psychoacoustic models; Speech; Transient analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2009 17th European

Conference_Location

Glasgow

Print_ISBN

978-161-7388-76-7

Type

conf

Filename

7077773