Title :
Modulation decompositions for the interpolation of long gaps in acoustic signals
Author :
Clark, Pascal ; Atlas, Les
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA
fDate :
March 31 2008-April 4 2008
Abstract :
This paper presents a modulation-based reconstruction method for audio signals across long gaps of missing samples. We use LTI filterbanks followed by a multiplicative model that decomposes subbands into constituent modulators and carriers. This processing separates slowly-varying envelopes, or modulators, from the high-frequency fine structure of the carriers. Since modulators can be downsampled, this decomposition allows faster gap reconstruction when applying standard interpolation algorithms on the downsampled modulators, particularly when interpolation requires matrix inversion.
Keywords :
acoustic signal processing; audio acoustics; channel bank filters; matrix algebra; acoustic signals; audio signals; constituent modulators; downsampled modulators; filterbanks; gap reconstruction; high-frequency fine structure; interpolation algorithms; matrix inversion; modulation-based reconstruction method; multiplicative model; slowly-varying envelopes; Acoustic signal processing; Demodulation; Interpolation; Matrix decomposition; Narrowband; Reconstruction algorithms; Signal processing; Signal processing algorithms; Signal reconstruction; Speech analysis; acoustic signal processing; modulation; music; signal reconstruction; speech processing;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518466