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pro vyhledávání: '"Harry Printz"'
Autor:
Sabine Deligne, Ramesh A. Gopinath, Peder A. Olsen, Benoît Maison, Harry Printz, Satyanarayana Dharanipragada
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 10:551-561
This paper describes a robust, accurate, efficient, low-resource, medium-vocabulary, grammar-based speech recognition system using hidden Markov models for mobile applications. Among the issues and techniques we explore are improving robustness and e
Autor:
Harry Printz, Peder A. Olsen
Publikováno v:
Computer Speech & Language. 16:131-164
In this paper we define two alternatives to the familiar perplexity statistic (hereafter lexical perplexity), which is widely applied both as a figure of merit and as an objective function for training language models. These alternatives, respectivel
Autor:
Sabine Deligne, Ellen Eide, Ramesh Gopinath, Dimitri Kanevsky, Benoit Maison, Peder Olsen, Harry Printz, Jan Sedivy
Publikováno v:
7th European Conference on Speech Communication and Technology (Eurospeech 2001).
Autor:
Adam Berger, Harry Printz
Publikováno v:
5th International Conference on Spoken Language Processing (ICSLP 1998).
Publikováno v:
5th International Conference on Spoken Language Processing (ICSLP 1998).
Autor:
Harry Printz
Publikováno v:
5th International Conference on Spoken Language Processing (ICSLP 1998).
Autor:
Stephen A. Della Pietra, Vincent J. Della Pietra, John Lafferty, Robert Leroy Mercer, Adam L. Berger, Peter Fitzhugh Brown, Luboš Ureš, Harry Printz, John R. Gillett
Publikováno v:
HLT
We present an overview of Candide, a system for automatic translation of French text to English text. Candide uses methods of information theory and statistics to develop a probability model of the translation process. This model, which is made to ac
Autor:
John Lafferty, Vincent J. Della Pietra, Harry Printz, Stephen A. Della Pietra, Luboš Ureš, J. Gillet
Publikováno v:
Grammatical Inference and Applications ISBN: 9783540584735
ICGI
ICGI
We describe an implementation of a simple probabilistic link grammar. This probabilistic language model extends trigrams by allowing a word to be predicted not only from the two immediately preceeding words, but potentially from any preceeding pair o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aa020892f3d0cbc1714d8be319ae93a
https://doi.org/10.1007/3-540-58473-0_139
https://doi.org/10.1007/3-540-58473-0_139
Publikováno v:
The Journal of the Acoustical Society of America. 124:3372
Two statistics are disclosed for determining the quality of language models. These statistics are called acoustic perplexity and the synthetic acoustic word error rate (SAWER), and they depend upon methods for computing the acoustic confusability of
Publikováno v:
Science (New York, N.Y.). 249(4971)
At the level of individual neurons, catecholamine release increases the responsivity of cells to excitatory and inhibitory inputs. A model of catecholamine effects in a network of neural-like elements is presented, which shows that (i) changes in the