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:
May. 07, 2019

Filed:

Feb. 26, 2018
Applicant:

Interactive Intelligence Group, Inc., Indianapolis, IN (US);

Inventors:

Srinath Cheluvaraja, Carmel, IN (US);

Ananth Nagaraja Iyer, Carmel, IN (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 25/00 (2013.01); G10L 15/14 (2006.01); G10L 15/16 (2006.01); G10L 25/24 (2013.01); G10L 25/27 (2013.01); G06N 3/02 (2006.01);
U.S. Cl.
CPC ...
G10L 15/144 (2013.01); G06N 3/02 (2013.01); G10L 15/14 (2013.01); G10L 15/16 (2013.01); G10L 25/24 (2013.01); G10L 25/27 (2013.01);
Abstract

A system and method are presented for neural network based feature extraction for acoustic model development. A neural network may be used to extract acoustic features from raw MFCCs or the spectrum, which are then used for training acoustic models for speech recognition systems. Feature extraction may be performed by optimizing a cost function used in linear discriminant analysis. General non-linear functions generated by the neural network are used for feature extraction. The transformation may be performed using a cost function from linear discriminant analysis methods which perform linear operations on the MFCCs and generate lower dimensional features for speech recognition. The extracted acoustic features may then be used for training acoustic models for speech recognition systems.


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