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. 13, 2018

Filed:

Jul. 29, 2015
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Kanury Kanishka Rao, Sunnyvale, CA (US);

Francoise Beaufays, Mountain View, CA (US);

Hasim Sak, New York, NY (US);

Ouais Alsharif, London, GB;

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 15/187 (2013.01); G10L 15/06 (2013.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G10L 15/16 (2006.01); G10L 15/02 (2006.01);
U.S. Cl.
CPC ...
G10L 15/187 (2013.01); G06N 3/0445 (2013.01); G06N 3/084 (2013.01); G10L 15/063 (2013.01); G10L 15/16 (2013.01); G10L 2015/025 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for learning pronunciations from acoustic sequences. One method includes receiving an acoustic sequence, the acoustic sequence comprising a respective acoustic feature representation at each of a plurality of time steps; for each of the time steps processing the acoustic feature representation through each of one or more recurrent neural network layers to generate a recurrent output; processing the recurrent output for the time step using a phoneme output layer to generate a phoneme representation for the acoustic feature representation for the time step; and processing the recurrent output for the time step using a grapheme output layer to generate a grapheme representation for the acoustic feature representation for the time step; and extracting, from the phoneme and grapheme representations for the acoustic feature representations at each time step, a respective pronunciation for each of one or more words.


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