Title:
METHOD AND APPARATUS FOR DETECTING VOICE END POINT BY USING ACOUSTIC AND LANGUAGE MODELING INFORMATION TO ACCOMPLISH STRONG VOICE RECOGNITION
Document Type and Number:
WIPO Patent Application WO/2021/010617
Kind Code:
A1
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.
Inventors:
CHANG JOON-HYUK (KR)
HWANG INYOUNG (KR)
HWANG INYOUNG (KR)
Application Number:
PCT/KR2020/008453
Publication Date:
January 21, 2021
Filing Date:
June 29, 2020
Export Citation:
Assignee:
UNIV HANYANG IND UNIV COOP FOUND (KR)
International Classes:
G10L25/87; G06N3/08; G10L15/06; G10L15/183; G10L19/038; G10L25/30
Foreign References:
| KR20180097496A | 2018-08-31 | |||
| KR20130134620A | 2013-12-10 | |||
| US5596680A | 1997-01-21 | |||
| KR20010091093A | 2001-10-23 |
Other References:
MAAS ROLAND; RASTROW ARIYA; MA CHENGYUAN; LAN GUITANG; GOEHNER KYLE; TIWARI GAUTAM; JOSEPH SHAUN; HOFFMEISTER BJORN: "COMBINING ACOUSTIC EMBEDDINGS AND DECODING FEATURES FOR END-OF-UTTERANCE DETECTION IN REAL-TIME FAR-FIELD SPEECH RECOGNITION SYSTEMS", 30 April 2019 (2019-04-30), pages 1 - 5, XP033403996, Retrieved from the Internet
Attorney, Agent or Firm:
YANG, Sungbo (KR)
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