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.
Patent No.:
Date of Patent:
Aug. 21, 2012
Filed:
Sep. 30, 2008
Hoon Young Cho, Daejeon, KR;
Yun Keun Lee, Daejeon, KR;
Jeom Ja Kang, Daejeon, KR;
Byung OK Kang, Daejeon, KR;
Kap Kee Kim, Daejeon, KR;
Sung Joo Lee, Daejeon, KR;
Ho Young Jung, Daejeon, KR;
Hoon Chung, Gangwon, KR;
Jeon Gue Park, Seoul, KR;
Hyung Bae Jeon, Daejeon, KR;
Hoon Young Cho, Daejeon, KR;
Yun Keun Lee, Daejeon, KR;
Jeom Ja Kang, Daejeon, KR;
Byung Ok Kang, Daejeon, KR;
Kap Kee Kim, Daejeon, KR;
Sung Joo Lee, Daejeon, KR;
Ho Young Jung, Daejeon, KR;
Hoon Chung, Gangwon, KR;
Jeon Gue Park, Seoul, KR;
Hyung Bae Jeon, Daejeon, KR;
Electronics and Telecommunications Research Institute, Daejeon, KR;
Abstract
A microphone-array-based speech recognition system using a blind source separation (BBS) and a target speech extraction method in the system are provided. The speech recognition system performs an independent component analysis (ICA) to separate mixed signals input through a plurality of microphone into sound-source signals, extracts one target speech spoken for speech recognition from the separated sound-source signals by using a Gaussian mixture model (GMM) or a hidden Markov Model (HMM), and automatically recognizes a desired speech from the extracted target speech. Accordingly, it is possible to obtain a high speech recognition rate even in a noise environment.