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Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition
Joint Authors
Rotili, Rudy
Principi, Emanuele
Piazza, Francesco
Squartini, Stefano
Cifani, Simone
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-03-28
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
One of the big challenges in the field of Automatic Speech Recognition (ASR) consists in developing suitable solutions able to work properly also in adverse acoustic conditions, like in presence of additive noise and/or in reverberant rooms.
Recently a certain attention has been paid to deeply integrate the noise suppressor in the feature extraction pipeline.
In this paper, different single-channel MMSE-based noise reduction schemes have been implemented both in the frequency and cepstral domains and the related recognition performances evaluated on the AURORA2 and AURORA4 databases, therefore providing a useful reference for the scientific community.
American Psychological Association (APA)
Principi, Emanuele& Cifani, Simone& Rotili, Rudy& Squartini, Stefano& Piazza, Francesco. 2010. Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition. Journal of Electrical and Computer Engineering،Vol. 2010, no. 2010, pp.1-6.
https://search.emarefa.net/detail/BIM-511749
Modern Language Association (MLA)
Principi, Emanuele…[et al.]. Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition. Journal of Electrical and Computer Engineering No. 2010 (2010), pp.1-6.
https://search.emarefa.net/detail/BIM-511749
American Medical Association (AMA)
Principi, Emanuele& Cifani, Simone& Rotili, Rudy& Squartini, Stefano& Piazza, Francesco. Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition. Journal of Electrical and Computer Engineering. 2010. Vol. 2010, no. 2010, pp.1-6.
https://search.emarefa.net/detail/BIM-511749
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511749