Improved feature enhancement using temporal filtering in speech recognition

Title
Improved feature enhancement using temporal filtering in speech recognition
Author(s)
정현열신광호[신광호]석수영[석수영]
Keywords
NORMALIZATION
Issue Date
201008
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Citation
IEICE ELECTRONICS EXPRESS, v.7, no.15, pp.1099 - 1105
Abstract
The difference between training and testing environments is the major reason of performance degradation of speech recognition. In this paper, to further decrease the mismatch, we apply temporal filtering, Auto-Regression and Moving-Average (ARMA) filtering or RelAtive SpecTrAl (RASTA) filtering, as a post-processor for the log-Energy dynamic Range Normalization-Cepstral Mean and Variance Normalization (ERN-CMVN) based speech features, referred to as [EC]-ARMA and [EC]-RASTA. From experimental results conducted on Aurora 2.0 database, the integrated approaches with temporal filtering are shown the best performance among the several integrated approaches.
URI
http://hdl.handle.net/YU.REPOSITORY/23852http://dx.doi.org/10.1587/elex.7.1099
ISSN
1349-2543
Appears in Collections:
공과대학 > 모바일정보통신공학과 > Articles
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