DocumentCode :
3092041
Title :
Application of adaptive neural networks to speech recognition
Author :
Tappert, C.C.
Author_Institution :
International Business Machines Corporation, Raleigh, North Carolina
fYear :
1967
fDate :
23-25 Oct. 1967
Firstpage :
8
Lastpage :
13
Abstract :
This paper is concerned with the application of adaptive neural networks (ANNs) to the automatic classification of speech segments. Speech segments as used here will be taken to mean short segments on the order of dyads, half-syllables, or possibly syllables. At this time it is an open question as to the type of subword segments best employed in speech recognition systems. To the writer, a dyad segment appears to be the best candidate. For the present only pre-segmented data will be investigated. It should be mentioned, however, that segmentation and classification of segments are not independent and thus a full fledged recognition system would probably entail feedback from the segment classifier to the segmenter.
Keywords :
Adaptive systems; Motion pictures; Neural networks; Speech recognition; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Adaptive Processes, Sixth Symposium on
Conference_Location :
Chicago, IL, USA
Type :
conf
DOI :
10.1109/SAP.1967.272967
Filename :
4049734
Link To Document :
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