The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 31, 2017

Filed:

Mar. 08, 2011
Applicants:

Enrico Bocchieri, Chatham, NJ (US);

Diamantino Antonio Caseiro, Philadelphia, PA (US);

Dimitrios Dimitriadis, Jersey City, NJ (US);

Inventors:

Enrico Bocchieri, Chatham, NJ (US);

Diamantino Antonio Caseiro, Philadelphia, PA (US);

Dimitrios Dimitriadis, Jersey City, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 15/06 (2013.01); G10L 15/14 (2006.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G10L 15/14 (2013.01);
Abstract

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for generating an acoustic model for use in speech recognition. A system configured to practice the method first receives training data and identifies non-contextual lexical-level features in the training data. Then the system infers sentence-level features from the training data and generates a set of decision trees by node-splitting based on the non-contextual lexical-level features and the sentence-level features. The system decorrelates training vectors, based on the training data, for each decision tree in the set of decision trees to approximate full-covariance Gaussian models, and then can train an acoustic model for use in speech recognition based on the training data, the set of decision trees, and the training vectors.


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