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:
Apr. 30, 2024

Filed:

Jun. 29, 2020
Applicant:

Iucf-hyu (Industry-university Cooperation Foundation Hanyang University), Seoul, KR;

Inventors:

Joon-Hyuk Chang, Seoul, KR;

Inyoung Hwang, Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/02 (2006.01); G06N 3/045 (2023.01); G06N 3/063 (2023.01); G10L 15/01 (2013.01); G10L 15/18 (2013.01); G10L 15/187 (2013.01); G10L 15/22 (2006.01);
U.S. Cl.
CPC ...
G10L 15/02 (2013.01); G06N 3/045 (2023.01); G06N 3/063 (2013.01); G10L 15/01 (2013.01); G10L 15/1815 (2013.01); G10L 15/187 (2013.01); G10L 15/22 (2013.01); G10L 2015/025 (2013.01);
Abstract

Disclosed are a method and an apparatus for detecting a voice end point by using acoustic and language modeling information to accomplish strong voice recognition. A voice end point detection method according to an embodiment may comprise the steps of: inputting an acoustic feature vector sequence extracted from a microphone input signal into an acoustic embedding extraction unit, a phonemic embedding extraction unit, and a decoder embedding extraction unit, which are based on a recurrent neural network (RNN); combining acoustic embedding, phonemic embedding, and decoder embedding to configure a feature vector by the acoustic embedding extraction unit, the phonemic embedding extraction unit, and the decoder embedding extraction unit; and inputting the combined feature vector into a deep neural network (DNN)-based classifier to detect a voice end point.


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