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:
Nov. 27, 2018

Filed:

Aug. 10, 2016
Applicant:

Conduent Business Services, Llc, Dallas, TX (US);

Inventors:

Vivek Tyagi, New Delhi, IN;

Niranjan Aniruddha Viladkar, Maharashtra, IN;

Theja Tulabandhula, Karnataka, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/16 (2006.01); G06N 3/08 (2006.01); G10L 15/06 (2013.01); G06N 7/00 (2006.01); G10L 15/14 (2006.01);
U.S. Cl.
CPC ...
G10L 15/16 (2013.01); G06N 7/005 (2013.01); G10L 15/063 (2013.01); G10L 15/14 (2013.01);
Abstract

What is disclosed is a system and method for modelling a class posterior probability of context dependent phonemes in a speech recognition system. A representation network is trained by projecting a N-dimensional feature vector into G intermediate layers of nodes. At least some features are associated with a class label vector. A last intermediate layer Zof the representation network is discretized to obtain a discretized layer {circumflex over (Z)}. Feature vector Q is obtained by randomly selecting V features from discretized layer {circumflex over (Z)}. Q is repeatedly hashed to obtain a vector Qwhere Qis an output of the fhashing. An equivalent scalar representation is determined for each Q. In a manner more fully disclosed herein, a posterior probability Pis determined for each (x, b) pair based on the equivalent scalar representation of each respective Q. The obtained posterior probabilities are used to improve classification accuracy in a speech recognition system.


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