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:
Oct. 23, 2012
Filed:
Nov. 13, 2008
Byung OK Kang, Daejeon, KR;
Ho-young Jung, Daejeon, KR;
Sung Joo Lee, Daejeon, KR;
Yunkeun Lee, Daejeon, KR;
Jeon Gue Park, Daejeon, KR;
Jeom Ja Kang, Daejeon, KR;
Hoon Chung, Daejeon, KR;
Euisok Chung, Daejeon, KR;
Ji Hyun Wang, Daejeon, KR;
Hyung-bae Jeon, Daejeon, KR;
Byung Ok Kang, Daejeon, KR;
Ho-Young Jung, Daejeon, KR;
Sung Joo Lee, Daejeon, KR;
Yunkeun Lee, Daejeon, KR;
Jeon Gue Park, Daejeon, KR;
Jeom Ja Kang, Daejeon, KR;
Hoon Chung, Daejeon, KR;
Euisok Chung, Daejeon, KR;
Ji Hyun Wang, Daejeon, KR;
Hyung-Bae Jeon, Daejeon, KR;
Electronics and Telecommunications Research Institute, Daejeon, KR;
Abstract
A noise cancellation apparatus includes a noise estimation module for receiving a noise-containing input speech, and estimating a noise therefrom to output the estimated noise; a first Wiener filter module for receiving the input speech, and applying a first Wiener filter thereto to output a first estimation of clean speech; a database for storing data of a Gaussian mixture model for modeling clean speech; and an MMSE estimation module for receiving the first estimation of clean speech and the data of the Gaussian mixture model to output a second estimation of clean speech. The apparatus further includes a final clean speech estimation module for receiving the second estimation of clean speech from the MMSE estimation module and the estimated noise from the noise estimation module, and obtaining a final Wiener filter gain therefrom to output a final estimation of clean speech by applying the final Wiener filter gain.