Paper Info
Title
Overlap-add Windows with Maximum Energy Concentration for Speech and Audio Processing
Abstract
Processing of speech and audio signals with time-frequency representations require windowing methods which allow perfect reconstruction of the original signal and where processing artifacts have a predictable behavior. The most common approach for this purpose is overlap-add windowing, where signal segments are windowed before and after processing. Commonly used windows include the half-sine and a Kaiser-Bessel derived window. The latter is an approximation of the discrete prolate spherical sequence, and thus a maximum energy concentration window, adapted for overlap-add. We demonstrate that performance can be improved by including the overlap-add structure as a constraint in optimization of the maximum energy concentration criteria. The same approach can be used to find further special cases such as optimal low-overlap windows. Our experiments demonstrate that the proposed windows provide notable improvements in terms of reduction in side-lobe magnitude.
Year
DOI
Venue
2019
10.1109/ICASSP.2019.8683577
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Keywords
Field
DocType
time-frequency processing,windowing,discrete prolate spherical sequences
Audio signal,Magnitude (mathematics),Prolate spheroid,Computer science,Algorithm,Audio signal processing,Overlap–add method
Conference
ISSN
ISBN
Citations 
1520-6149
978-1-4799-8131-1
0
PageRank 
References 
Authors
0.34
2
1
Name
Order
Citations
PageRank
Tom Bäckström188.55