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Development of the LEMS speech recognizer: Improving performance using feature-sets
Daniel J. Mashao
Brown University
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peer-review
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Dive into the research topics of 'Development of the LEMS speech recognizer: Improving performance using feature-sets'. Together they form a unique fingerprint.
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Engineering
Engineering
100%
Machine System
100%
Recognizer
100%
Recognition Rate
33%
Error Rate
33%
Keyphrases
Human-machine Systems
100%
DFT-based Method
66%
HMM Model
66%
Discrete HMMs
33%