Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Peter Fitzhugh Brown"'
Autor:
Peter Fitzhugh Brown
Publikováno v:
Formations of Belief
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da86730e32853c404d2b8fd698f15634
https://doi.org/10.1515/9780691194165-006
https://doi.org/10.1515/9780691194165-006
Autor:
Stanley F. Chen, Robert Leroy Mercer, V. Della Pietra, Peter Fitzhugh Brown, Andrew Kehler, S. Della Pietra
Publikováno v:
Computer Speech & Language. 8:177-187
It has been observed that humans can translate nearly four times as quickly with little loss in accuracy simply by dictating, as opposed to typing, their translations. In this paper, we consider the integration of speech recognition into a translator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4565659dff450ed169b3bc9eeba619d
https://doi.org/10.1006/csla.1994.1008
https://doi.org/10.1006/csla.1994.1008
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 1:443-452
A technique for constructing Markov models for the acoustic representation of words is described. Word models are constructed from models of subword units called fenones. Fenones represent very short speech events and are obtained automatically throu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0660a767e9bbd786d5f271259efc2a56
https://doi.org/10.1109/89.242490
https://doi.org/10.1109/89.242490
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 1:77-83
The problem of estimating the parameter values of hidden Markov word models for speech recognition is addressed. It is argued that maximum-likelihood estimation of the parameters via the forward-backward algorithm may not lead to values which maximiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b65e8c4ddfad0827a4c40265363d2be
https://doi.org/10.1109/89.221369
https://doi.org/10.1109/89.221369
Autor:
David Nahamoo, A. Nadas, K. Davies, Subhro Das, H. Wilkens, Burn L. Lewis, P.V. de Souza, Robert Leroy Mercer, S.V. De Gennaro, Frederick Jelinek, J. Moorhead, D. Van Compernolle, G. Shichman, D. Fraleigh, Raimo Bakis, P. Spinelli, Peter Fitzhugh Brown, G. Daggett, Amir Averbuch, Lalit R. Bahl, Edward A. Epstein, Michael Picheny
Publikováno v:
ICASSP
The Speech Recognition Group at IBM Research in Yorktown Heights has developed a real-time, isolated-utterance speech recognizer for natural language based on the IBM Personal Computer AT and IBM Signal Processors. The system has recently been enhanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d1c60ff66094768ed625692d560dec9
https://doi.org/10.1109/icassp.1987.1169870
https://doi.org/10.1109/icassp.1987.1169870
Publikováno v:
ICASSP
Dynamic programming is used in speech recognition to search efficiently for word sequences whose templates best match acoustic data. The search is constrained by finite-state networks embodying grammatical rules. Typically, dynamic programming is imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72166aed2f29da61214f6d5f2afdceec
https://doi.org/10.1109/icassp.1982.1171441
https://doi.org/10.1109/icassp.1982.1171441
Autor:
P. Spinelli, S. DeGennaro, Sima Godosevicius Katz, David Nahamoo, Raimo Bakis, A. Nadas, Peter Fitzhugh Brown, K. Davies, Subhro Das, P.V. de Souza, G. Daggett, Burn L. Lewis, A. Cole, Edward A. Epstein, Frederick Jelinek, Michael Alan Picheny, D. Fraleigh, G. Shichman, Amir Averbuch, Robert Leroy Mercer, Lalit R. Bahl
Publikováno v:
ICASSP
The Speech Recognition Group at IBM Research in Yorktown Heights has designed a real-time, isolated-utterance speech recognizer for natural language with a 5,000-word vocabulary based on the IBM Personal Computer (PC) AT model and two IBM Signal Proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3311aa1e337e8e48b82e19cf0c48e90
https://doi.org/10.1109/icassp.1986.1169169
https://doi.org/10.1109/icassp.1986.1169169
Publikováno v:
ICASSP
A method for estimating the parameters of hidden Markov models of speech is described. Parameter values are chosen to maximize the mutual information between an acoustic observation sequence and the corresponding word sequence. Recognition results ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88ae91cecce1d8e33a3a8d6baab21600
https://doi.org/10.1109/icassp.1986.1169179
https://doi.org/10.1109/icassp.1986.1169179
Autor:
Michael Picheny, P.V. de Souza, A. Nadas, Subhro Das, Ponani S. Gopalakrishnan, Lalit R. Bahl, Frederick Jelinek, Dimitri Kanevsky, Robert Leroy Mercer, Peter Fitzhugh Brown, Raimo Bakis, David Burshtein, Jerome R. Bellegarda, David Nahamoo
Publikováno v:
ICASSP
A description is presented of the authors' current research on automatic speech recognition of continuously read sentences from a naturally-occurring corpus: office correspondence. The recognition system combines features from their current isolated-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0e86aaec4c69c1b9903f9fdc54084a8
https://doi.org/10.1109/icassp.1989.266464
https://doi.org/10.1109/icassp.1989.266464
Publikováno v:
ICASSP
Discusses the problem of estimating the parameter values of hidden Markov word models for speech recognition. The authors argue that maximum-likelihood estimation of the parameters does not lead to values which maximize recognition accuracy and descr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9d45004b622e466e8cfddcc88bd6357
https://doi.org/10.1109/icassp.1988.196627
https://doi.org/10.1109/icassp.1988.196627