Psychoacoustic music analysis based on the discrete wavelet packet transform

Authors:
Xing He;Michael S. Scordilis
Affiliations:
BrainMedia LLC, New York, NY;Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL
Venue:
Research Letters in Signal Processing
Year:
2008

Citing 5
Cited 1

Ten lectures on wavelets

Ten lectures on wavelets
Robust audio watermarking using perceptual masking

Signal Processing
A new algorithm for translating psycho-acoustic information to the wavelet domain

Signal Processing - Special section on digital signal processing for multimedia communications and services
Introduction to Digital Audio Coding and Standards

Introduction to Digital Audio Coding and Standards
Perceptual speech coding and enhancement using frame-synchronizedfast wavelet packet transform algorithms

IEEE Transactions on Signal Processing

Auditory time-frequency masking: psychoacoustical data and application to audio representations

CMMR'11 Proceedings of the 8th international conference on Speech, Sound and Music Processing: embracing research in India

Quantified Score

Hi-index	0.00

Visualization

Abstract

Psychoacoustical computational models are necessary for the perceptual processing of acoustic signals and have contributed significantly in the development of highly efficient audio analysis and coding. In this paper, we present an approach for the psychoacoustic analysis of musical signals based on the discrete wavelet packet transform. The proposed method mimics the multiresolution properties of the human ear closer than other techniques and it includes simultaneous and temporal auditory masking. Experimental results show that this method provides better masking capabilities and it reduces the signal-to-masking ratio substantially more than other approaches, without introducing audible distortion. This model can lead to greater audio compression by permitting further bit rate reduction and more secure watermarking by providing greater signal space for information hiding.