Title:
【発明の名称】文脈依存モデリング用人工ニューラルネットワークを用いたパターン認識装置
Document Type and Number:
Japanese Patent JP3168004
Kind Code:
B2
Abstract:
A pattern (for example speech) recognition device comprising an artificial neural network set-up having K X M output units and provided for calculating probabilities of observing a feature vector (xt) (12) on a class (qk) (1 = k = K) (11) conditioned on predetermined contextual models (cm) (1 = m = M) (17), each of said classes being represented by at least one model belonging to a finite set of models (M) governed by statistical laws. Said neural network set-up is splitted into a first neural network having K output units and being provided for calculating a posteriori probabilities of said class (qk) given said observed vector (xt), and at least one further neural network having M output units and provided for calculating a posteriori probabilities of said contextual models, conditioned on said class.
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Inventors:
Boulle Lar Elbe
Morgan, Nelson
Morgan, Nelson
Application Number:
JP51351991A
Publication Date:
May 21, 2001
Filing Date:
August 19, 1991
Export Citation:
Assignee:
Lernout and House Py Speech Products
International Classes:
G06F15/18; G06K9/72; G06N3/00; G06N99/00; G10L15/10; G10L15/14; G10L15/16; G10L15/18; G10L15/193; G10L17/08; (IPC1-7): G10L15/16; G06N3/00; G10L15/18
Domestic Patent References:
JP4180099A | ||||
JP673080B2 | ||||
JP642159B2 |
Other References:
【文献】欧州特許553101(EP,B1)
Attorney, Agent or Firm:
Akira Asamura (3 outside)
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