A novel binary mask estimator based on sparse approximation

Abigail Anne Kressner; David V. Anderson; Christopher J. Rozell

doi:10.1109/icassp.2013.6639120

A novel binary mask estimator based on sparse approximation

Abigail Anne Kressner, David V. Anderson, Christopher J. Rozell

Georgia Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

While most single-channel noise reduction algorithms fail to improve speech intelligibility, the ideal binary mask (IBM) has demonstrated substantial intelligibility improvements. However, this approach exploits oracle knowledge. The main objective of this paper is to introduce a novel binary mask estimator based on a simple sparse approximation algorithm. Our approach does not require oracle knowledge and instead uses knowledge of speech structure. © 2013 IEEE.

Original language	English
Title of host publication	Proceedings of Ieee International Conference on Acoustics, Speech and Signal Processing
Publisher	IEEE
Publication date	2013
Pages	7497-7501
ISBN (Print)	978-1-4799-0356-6
DOIs	https://doi.org/10.1109/icassp.2013.6639120
Publication status	Published - 2013
Externally published	Yes
Event	2013 IEEE International Conference on Acoustics, Speech and Signal Processing - Vancouver Convention and Exhibition Centre, Vancouver, Canada Duration: 26 May 2013 → 31 May 2013 Conference number: 38 http://www.icassp2013.com/

Conference

Conference	2013 IEEE International Conference on Acoustics, Speech and Signal Processing
Number	38
Location	Vancouver Convention and Exhibition Centre
Country/Territory	Canada
City	Vancouver
Period	26/05/2013 → 31/05/2013
Internet address	http://www.icassp2013.com/

Series	I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN	1520-6149

Keywords

Signal Processing
Software
Electrical and Electronic Engineering
Ideal binary mask
intelligibility
noise reduction
sparse approximation
time-frequency masking
Binary masks
Ideal binary mask (IBM)
Intelligibility improvements
Single-channel noise reductions
Sparse approximations
Time-Frequency Masking
Approximation algorithms
Noise abatement
Signal processing
Speech intelligibility
Acoustic noise
approximation theory
speech intelligibility
Signal Processing and Analysis
Approximation methods
binary mask estimator
Matching pursuit algorithms
oracle knowledge
Signal processing algorithms
Signal to noise ratio
single-channel noise reduction algorithm
Speech
Time-frequency analysis

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10.1109/icassp.2013.6639120

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title = "A novel binary mask estimator based on sparse approximation",

abstract = "While most single-channel noise reduction algorithms fail to improve speech intelligibility, the ideal binary mask (IBM) has demonstrated substantial intelligibility improvements. However, this approach exploits oracle knowledge. The main objective of this paper is to introduce a novel binary mask estimator based on a simple sparse approximation algorithm. Our approach does not require oracle knowledge and instead uses knowledge of speech structure. {\textcopyright} 2013 IEEE.",

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author = "Kressner, {Abigail Anne} and Anderson, {David V.} and Rozell, {Christopher J.}",

year = "2013",

doi = "10.1109/icassp.2013.6639120",

language = "English",

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series = "I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings",

publisher = "IEEE",

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booktitle = "Proceedings of Ieee International Conference on Acoustics, Speech and Signal Processing",

address = "United States",

note = "2013 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",

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Kressner, AA, Anderson, DV & Rozell, CJ 2013, A novel binary mask estimator based on sparse approximation. in Proceedings of Ieee International Conference on Acoustics, Speech and Signal Processing. IEEE, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, pp. 7497-7501, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, British Columbia, Canada, 26/05/2013. https://doi.org/10.1109/icassp.2013.6639120

A novel binary mask estimator based on sparse approximation. / Kressner, Abigail Anne; Anderson, David V.; Rozell, Christopher J.
Proceedings of Ieee International Conference on Acoustics, Speech and Signal Processing. IEEE, 2013. p. 7497-7501 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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A novel binary mask estimator based on sparse approximation

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