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:
Sep. 26, 2017

Filed:

Mar. 02, 2016
Applicant:

Nuance Communications, Inc., Burlington, MA (US);

Inventors:

Andrej Ljolje, Morris Plains, NJ (US);

Alistair D. Conkie, Morristown, NJ (US);

Assignee:

Nuance Communications, Inc., Burlington, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 15/18 (2013.01); G06F 17/27 (2006.01); G10L 15/20 (2006.01); G10L 13/027 (2013.01); G10L 15/02 (2006.01); G10L 15/04 (2013.01); G10L 25/87 (2013.01);
U.S. Cl.
CPC ...
G10L 15/1815 (2013.01); G06F 17/27 (2013.01); G10L 13/027 (2013.01); G10L 15/02 (2013.01); G10L 15/04 (2013.01); G10L 15/20 (2013.01); G10L 25/87 (2013.01); G10L 2015/025 (2013.01);
Abstract

Disclosed herein are systems, computer-implemented methods, and tangible computer-readable media for handling missing speech data. The computer-implemented method includes receiving speech with a missing segment, generating a plurality of hypotheses for the missing segment, identifying a best hypothesis for the missing segment, and recognizing the received speech by inserting the identified best hypothesis for the missing segment. In another method embodiment, the final step is replaced with synthesizing the received speech by inserting the identified best hypothesis for the missing segment. In one aspect, the method further includes identifying a duration for the missing segment and generating the plurality of hypotheses of the identified duration for the missing segment. The step of identifying the best hypothesis for the missing segment can be based on speech context, a pronouncing lexicon, and/or a language model. Each hypothesis can have an identical acoustic score.


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