Paper Info
Title
Instantaneous Environment Adaptation Techniques Based On Fast Pms And Map-Cms Methods
Abstract
This paper proposes instantaneous environment adaptation techniques for both additive noise and channel distortion based on the fast PMC (FPMC) and the MAP-CMS methods. The instantaneous adaptation techniques enable a recognizer to improve recognition on a single sentence that is used for the adaptation in real-time. The key innovations enabling the system to achieve the instantaneous adaptation are: 1) a cepstral mean subtraction method based on maximum a posteriori estimation (MAP-CMS), 2) real-time implementation of the fast PMC [5] that we proposed previously, 3) utilization of multi-pass search, and 4) a new combination method of MAP-CMS and FPMC to solve the problem of both channel distortion and additive noise. Experiment results showed that the proposed methods enabled the system to perform recognition and adaptation simultaneously nearly in real-time and obtained good improvements in performance.
Year
DOI
Venue
1998
10.1109/ICASSP.1998.675383
PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6
Keywords
Field
DocType
noise,parallel algorithms,maximum a posteriori estimation,speech recognition,calibration,background noise,maximum likelihood estimation,real time systems,telephony,adaptive systems,real time
Background noise,Pattern recognition,Parallel algorithm,Adaptive system,Computer science,Communication channel,Artificial intelligence,Maximum a posteriori estimation,Telephony,Distortion,Calibration
Conference
ISSN
Citations 
PageRank 
1520-6149
4
0.45
References 
Authors
4
4
Name
Order
Citations
PageRank
Tetsuo Kosaka18016.41
Hiroki Yamamoto2112.86
Masayuki Yamada3152.68
Yasuhiro Komori4257.43