DocumentCode :
2996114
Title :
Discrete utterance speech recognition without time alignment
Author :
Brown, Kathy L. ; Algazi, V. Ralph
Author_Institution :
University of California, Davis, CA, USA
Volume :
10
fYear :
1985
fDate :
31138
Firstpage :
21
Lastpage :
24
Abstract :
Computer speech recognition is a discipline that has been viewed from two diametrically opposed perspectives. One perspective perceives recognition as a purely mathematical process; the other perceives it as an extensive linguistical "knowledge" base. Because each perspective has its own set of limitations, neither approach has been able to achieve a viable machine realization of human auditory capabilities. Mathematical approaches do not perform fine phonetic distinctions well; linguistical approaches are not suitably machine oriented. We, therefore, propose in this paper a hybrid approach, suited both for machine implementation and for perceiving subtle differences in phonetic structure.
Keywords :
Acoustic signal detection; Data mining; Humans; Image processing; Signal processing; Spectrogram; Speech analysis; Speech processing; Speech recognition; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
Type :
conf
DOI :
10.1109/ICASSP.1985.1168456
Filename :
1168456
Link To Document :
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