Zobrazeno 1 - 8
of 8
pro vyhledávání: '"R. Wohlford"'
Publikováno v:
ICASSP
Vector quantization techniques were applied to a continuous speech recognition system as a means of reducing both memory usage and computation time. The speech recognition system computes time-aligned distances between unknown speech segments and tem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ca05e1e76f23627cfc748b43ddcb0b6
https://doi.org/10.1109/icassp.1984.1172586
https://doi.org/10.1109/icassp.1984.1172586
Publikováno v:
ICASSP
Recent enhancements to a connected speech recognition algorithm have led to substantial improvements in recognition accuracy especially for speech in noisy environments. The performance improvements are a direct result of three features of this algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::348f9363a8f77b618dc90f2576f6cc2e
https://doi.org/10.1109/icassp.1986.1169211
https://doi.org/10.1109/icassp.1986.1169211
Publikováno v:
ICASSP
This paper presents results of research on the enhancement of speaker independent wordspotting in conversational, telephone bandwidth speech from a variety of talkers. The research involved the comparison of five LPC based parameter sets (filter coef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21a6cbf0f29a9423c25b0964e2a1a63d
https://doi.org/10.1109/icassp.1980.1171021
https://doi.org/10.1109/icassp.1980.1171021
Autor:
R. Wohlford, A. Higgins
Publikováno v:
ICASSP
Text-independent speaker recognition methods have been based on measurements of long-term statistics of individual speech frames. These methods are not capable of modeling speaker-dependent speech dynamics. In this paper, we describe a new method, ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3951999f4835e48b1bcc0e47f48cbedb
https://doi.org/10.1109/icassp.1986.1168975
https://doi.org/10.1109/icassp.1986.1168975
Publikováno v:
ICASSP
Four automatic speaker recognition techniques were investigated with a contain speech data base to determine their effectiveness in a text independent mode. These four techniques used the correlation of short and long term spectral averages, cepstral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27908a8206db177cb3a78a0d3f3147c3
https://doi.org/10.1109/icassp.1980.1170940
https://doi.org/10.1109/icassp.1980.1170940
Autor:
S. Boll, R. Wohlford
Publikováno v:
ICASSP
A composite noise suppression algorithm is described in which the current speech event under analysis dictates which enhancement technique is to be used. Large temporal and spectral variations in speech have continued to inhibit satisfactory performa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81837b473d64dfdb050540249503c084
https://doi.org/10.1109/icassp.1983.1171982
https://doi.org/10.1109/icassp.1983.1171982
Autor:
R. Wohlford, A. Higgins
Publikováno v:
ICASSP
The error rates typically reported for connected speech recognition (CSR) and keyword recognition (KWR) differ by at least an order of magnitude. We present a simple new KWR method and use the new method to investigate the factors that are responsibl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f98432bd258c3ec3381aa00a9b1ded27
https://doi.org/10.1109/icassp.1985.1168253
https://doi.org/10.1109/icassp.1985.1168253
Publikováno v:
ICASSP
An Experimental Learning Element (ELE) for learning and recognizing sequential patterns is being developed as an adaptable pattern classifier of a larger learning system. Once external patterns are converted into a linear sequence of named objects, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8be1359bee0a5bb5314247a42a7c0001
https://doi.org/10.1109/icassp.1985.1168282
https://doi.org/10.1109/icassp.1985.1168282