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. 06, 2013
Filed:
Jul. 21, 2009
Sung Joo Lee, Daejeon, KR;
Ho-young Jung, Daejeon, KR;
Jeon Gue Park, Daejeon, KR;
Hoon Chung, Daejeon, KR;
Yunkeun Lee, Daejeon, KR;
Byung OK Kang, Daejeon, KR;
Hyung-bae Jeon, Daejeon, KR;
Jong Jin Kim, Daejeon, KR;
Ki-young Park, Daejeon, KR;
Euisok Chung, Daejeon, KR;
Ji Hyun Wang, Daejeon, KR;
Jeom Ja Kang, Daejeon, KR;
Sung Joo Lee, Daejeon, KR;
Ho-Young Jung, Daejeon, KR;
Jeon Gue Park, Daejeon, KR;
Hoon Chung, Daejeon, KR;
Yunkeun Lee, Daejeon, KR;
Byung Ok Kang, Daejeon, KR;
Hyung-Bae Jeon, Daejeon, KR;
Jong Jin Kim, Daejeon, KR;
Ki-young Park, Daejeon, KR;
Euisok Chung, Daejeon, KR;
Ji Hyun Wang, Daejeon, KR;
Jeom Ja Kang, Daejeon, KR;
Electronics and Telecommunications Research Institute, Daejeon, KR;
Abstract
A speech recognition system includes: a speed level classifier for measuring a moving speed of a moving object by using a noise signal at an initial time of speech recognition to determine a speed level of the moving object; a first speech enhancement unit for enhancing sound quality of an input speech signal of the speech recognition by using a Wiener filter, if the speed level of the moving object is equal to or lower than a specific level; and a second speech enhancement unit enhancing the sound quality of the input speech signal by using a Gaussian mixture model, if the speed level of the moving object is higher than the specific level. The system further includes an end point detection unit for detecting start and end points, an elimination unit for eliminating sudden noise components based on a sudden noise Gaussian mixture model.