Perceptual segmentation and component selection in compact sinusoidal representations of audio

Author

Painter, Ted ; Spanias, Andreas

Author_Institution

Intel Corp., Hudson, MA, USA

Volume

5

fYear

2001

fDate

2001

Firstpage

3289

Abstract

This paper presents two fundamental enhancements in a hybrid audio signal model consisting of sinusoidal, transient, and noise (STN) components. The first enhancement involves a novel application of a perceptual metric for optimal time segmentation for the analysis of transients. In particular, Moore and Glasberg´s model of partial loudness is modified for use with general signals and then integrated into a, novel time segmentation scheme. The second and perhaps more significant STN enhancement is concerned with a new methodology for ranking and selection of the most perceptually relevant sinusoids

Keywords

adaptive signal processing; audio signal processing; loudness; signal representation; transient analysis; compact sinusoidal audio representations; component selection; excitation similarity weighting; hybrid audio signal model; noise component; optimal time segmentation; partial loudness; perceptual metric; perceptual segmentation; signal-adaptive modeling; sinusoidal component; thresholding; transient analysis; transient component; Bit rate; Filter bank; Frequency synthesizers; Handheld computers; Noise level; Pattern matching; Phase noise; Signal analysis; Signal synthesis; Transient analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940361

Filename

940361