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:
Oct. 03, 2023

Filed:

May. 28, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Hasim Sak, Santa Clara, CA (US);

Sean Matthew Shannon, Mountain View, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/02 (2006.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/084 (2023.01); G06N 7/01 (2023.01); G10L 15/02 (2006.01); G10L 15/06 (2013.01); G10L 15/14 (2006.01); G10L 15/16 (2006.01); G10L 15/22 (2006.01); G10L 15/183 (2013.01);
U.S. Cl.
CPC ...
G10L 15/16 (2013.01); G06N 3/02 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/084 (2013.01); G10L 15/14 (2013.01); G10L 15/22 (2013.01); G06N 7/01 (2023.01); G10L 15/02 (2013.01); G10L 15/063 (2013.01); G10L 15/183 (2013.01); G10L 2015/025 (2013.01);
Abstract

Methods, systems, and apparatus for performing speech recognition. In some implementations, acoustic data representing an utterance is obtained. The acoustic data corresponds to time steps in a series of time steps. One or more computers process scores indicative of the acoustic data using a recurrent neural network to generate a sequence of outputs. The sequence of outputs indicates a likely output label from among a predetermined set of output labels. The predetermined set of output labels includes output labels that respectively correspond to different linguistic units and to a placeholder label that does not represent a classification of acoustic data. The recurrent neural network is configured to use an output label indicated for a previous time step to determine an output label for the current time step. The generated sequence of outputs is processed to generate a transcription of the utterance, and the transcription of the utterance is provided.


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