行政院國家科學委員會專題研究計畫成果報告 子計畫㆒：無線通訊環境㆘國語語音之分散式辨認
Date Issued
2002-07-31
Date
2002-07-31
Author(s)
李宇旼
DOI
902213E002099
Abstract
Distributed speech recognition (DSR) is a
client/server approach for speech recognition.
In a wireless environment, client refers to the
mobile station, while the server is a computer
physically connected to the network
infrastructure. In DSR, the mobile client
performs such processing as feature vector
extraction, feature compression, and error
control coding. The server, on the other
hand, is in charge of more complicated tasks
such as speech recognition and understanding,
information retrieval, and information
processing. DSR is particularly suitable for
speech-enabled information retrieval in a
wireless environment. However, since the
speech feature vectors are transmitted to the
server through the wireless channel, feature
robustness, tolerance to transmission errors,
as well as transmission bandwidth
requirements are important design issues for
DSR. The purpose of this research is to
design practical and robust feature extraction
and compression algorithms for DSR that
maximize the transmission bandwidth
efficiency with minimal loss in information
retrieval efficiency.
Subjects
Speech recognition
distributed
speech recognition
speech recognition
wireless
networks
networks
Publisher
臺北市：國立臺灣大學電信工程學研究所
Type
report
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