Title :
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
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;
Conference_Titel :
Signal Processing Conference, 2009 17th European
Conference_Location :
Glasgow
Print_ISBN :
978-161-7388-76-7
