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Title:
GENERATIVE ADVERSARIAL NETWORK-BASED VOICE BANDWIDTH EXTENDER AND EXTENSION METHOD
Document Type and Number:
WIPO Patent Application WO/2019/004592
Kind Code:
A1
Abstract:
Proposed are a generative adversarial network-based voice bandwidth extender and extension method. A generative adversarial network-based voice bandwidth extension method, according to an embodiment, comprises the steps of: extracting feature vectors from a narrowband (NB) signal and a wideband (WB) signal of a voice; estimating the feature vector of the wideband signal from the feature vector of the narrowband signal; and learning a deep neural network classification model for discriminating the estimated feature vector of the wideband signal from the actually extracted feature vector of the wideband signal and the actually extracted feature vector of the narrowband signal.

Inventors:
CHANG, Joon-Hyuk (No. G-2708, 26 Eonju-ro 30-gil,Gangnam-gu, Seoul, 06294, KR)
NOH, Kyoungjin (No. 101-212, 65 Sageundong-gil,Seongdong-gu, Seoul, 04760, KR)
Application Number:
KR2018/005647
Publication Date:
January 03, 2019
Filing Date:
May 17, 2018
Export Citation:
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Assignee:
INDUSTRY-UNIVERSITY COOPERATION FOUNDATION HANYANG UNIVERSITY (222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, KR)
International Classes:
G10L19/038; G10L21/038; G10L25/30
Foreign References:
KR20070085982A2007-08-27
JP2004252477A2004-09-09
JP2003526123A2003-09-02
Other References:
NOH, KYOUNG JIN ET AL.: "Ensemble of Deep Neural Networks for Artificial Noise Robust Speech Bandwidth Extension", PROCEEDINGS OF THE 2017 KOREAN INSTITUTE OF COMMUNICATIONS AND INFORMATION SCIENCES SUMMER CONFERENCE, 21 June 2017 (2017-06-21), pages 792 - 793, Retrieved from the Internet
ZHANG, XIAO-LEI ET AL.: "Deep Belief Networks Based Voice Activity Detection", IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, vol. 21, no. 4, April 2013 (2013-04-01), pages 697 - 710, XP011500336, Retrieved from the Internet
Attorney, Agent or Firm:
YANG, Sungbo (P&T Intellectual Property Law Firm, 2nd Fl. Samsung Bldg.,,14, Seolleung-ro 125-gil,Gangnam-gu, Seoul, 06099, KR)
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