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Hits 1 – 3 of 3
1
Can continuous speech recognizers handle isolated speech?
Alleva, Fil
;
Huang, Xuedong
;
Hwang, Mei-Yuh
...
In:
Speech communication. - Amsterdam [u.a.] : Elsevier
26 (1998) 3, 183-190
OLC Linguistik
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2
Can continuous speech recognizers handle isolated speech?
Alleva, Fil
;
Huang, Xuedong
;
Hwang, Mei-Yuh
...
In:
Speech communication. - Amsterdam [u.a.] : Elsevier
26 (1998) 3, 183-189
BLLDB
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3
Effect of Reference Set Selection on Speaker Dependent Speech Recognition. Frame Compression in Isolated Word Recognition
Li, Zongge
;
Alleva, Fil
;
Reddy, Raj
In: DTIC AND NTIS (1981)
Abstract:
This paper describes an algorithm for compressing the spectral representation of an utterance along the time axis while keeping the main features intact. The goal of the algorithm is to save template storage space and to reduce the time required for recognition. For 8 speakers, 5 data sets each, the results indicated that we can save about 40% of the template space and 35% of the recognition time with only a slightly higher error rate. ; Sponsored in part by Grant NSF-MCS78-25824.
Keyword:
*SPEECH RECOGNITION
;
*WORD RECOGNITION
;
ALGORITHMS
;
COEFFICIENTS
;
Cybernetics
;
DATA ACQUISITION
;
DATA COMPRESSION
;
DATA RATE
;
DISCRETE FOURIER TRANSFORMS
;
ERRORS
;
HIGH RATE
;
Linguistics
;
PARAMETERS
;
PATTERN RECOGNITION
;
SIGNAL PROCESSING
;
SPECTRA
;
TIME DEPENDENCE
URL:
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA104794
http://www.dtic.mil/docs/citations/ADA104794
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