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:
Mar. 03, 2015

Filed:

Apr. 19, 2012
Applicants:

Fuliang Weng, Mountain View, CA (US);

Zhe Feng, Mountain View, CA (US);

Kui Xu, Sunnyvale, CA (US);

Lin Zhao, Sunnyvale, CA (US);

Inventors:

Fuliang Weng, Mountain View, CA (US);

Zhe Feng, Mountain View, CA (US);

Kui Xu, Sunnyvale, CA (US);

Lin Zhao, Sunnyvale, CA (US);

Assignee:

Robert Bosch GmbH, Stuttgart, DE (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 15/32 (2013.01); G10L 15/06 (2013.01); G10L 15/18 (2013.01); G10L 15/193 (2013.01); G10L 15/197 (2013.01); G10L 15/30 (2013.01);
U.S. Cl.
CPC ...
G10L 15/32 (2013.01); G10L 15/063 (2013.01); G10L 15/18 (2013.01); G10L 15/193 (2013.01); G10L 15/197 (2013.01); G10L 15/30 (2013.01);
Abstract

In accordance with one embodiment, a method of generating language models for speech recognition includes identifying a plurality of utterances in training data corresponding to speech, generating a frequency count of each utterance in the plurality of utterances, generating a high-frequency plurality of utterances from the plurality of utterances having a frequency that exceeds a predetermined frequency threshold, generating a low-frequency plurality of utterances from the plurality of utterances having a frequency that is below the predetermined frequency threshold, generating a grammar-based language model using the high-frequency plurality of utterances as training data, and generating a statistical language model using the low-frequency plurality of utterances as training data.


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