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:
Aug. 06, 2024

Filed:

Jan. 27, 2020
Applicant:

Nippon Telegraph and Telephone Corporation, Tokyo, JP;

Inventors:

Ryo Masumura, Tokyo, JP;

Tomohiro Tanaka, Tokyo, JP;

Takanobu Oba, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/06 (2013.01); G10L 15/14 (2006.01); G10L 15/18 (2013.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G10L 15/14 (2013.01); G10L 15/1815 (2013.01);
Abstract

Provided is a speech recognition device capable of implementing end-to-end speech recognition considering a context. The speech recognition device includes a model parameter learning unit that learns a model parameter θ by using a word sequence of concern as an observation value and using a word sequence previous to the word sequence of concern, an acoustic feature value sequence corresponding to the word sequence of concern, and the model parameter θ as parameters to perform maximum likelihood estimation for a likelihood function of a probability that the observation value occurs under the parameters and an uttered speech recognition unit that repeats, in order of time sequence, processing of recognizing a word sequence to be recognized, the processing of recognizing the word sequence to be recognized being performed by using the word sequence to be recognized as an observation value and using an already recognized word sequence previous to the word sequence to be recognized, an acoustic feature value sequence corresponding to the word sequence to be recognized, and the learned model parameter θ as parameters and based on a maximum likelihood criterion for the likelihood function of the probability that the observation value occurs under the parameters.


Find Patent Forward Citations

Loading…