Output details
11 - Computer Science and Informatics
Birmingham City University
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Output 0 of 0 in the submission
Article title
Speech Enhancement based on Sparse Code Shrinkage Employing multiple speech models
Type
D - Journal article
Title of journal
Speech Communication
Article number
-
Volume number
54
Issue number
1
First page of article
108
ISSN of journal
0167-6393
Year of publication
2012
Number of additional authors
2
Additional information
<22> This paper develops a new advanced technique for enhancement of speech signals in noisy environments. The significance of this paper is that for the first time the Sparse Code Shrinkage enhancement method is used with multiple statistical models of speech signals in order to better account for the variety of the speech sounds. It is demonstrated that this achieves significant performance improvements. This work is one of the outcomes of £356k EPSRC funding.
Interdisciplinary
-
Cross-referral requested
-
Research group
2 - Digital Media Technology
Citation count
3
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
