Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Dereverberation by Using Time-Variant Nature of Speech Production System | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 65698 15 pages doi 2007 65698 Research Article Dereverberation by Using Time-Variant Nature of Speech Production System Takuya Yoshioka Takafumi Hikichi and Masato Miyoshi NTT Communication Science Laboratories NTT Corporation 2-4 Hikaridai Seika-cho Soraku-gun Kyoto 619-0237 Japan Received 25 August 2006 Revised 7 February 2007 Accepted 21 June 2007 Recommended by Hugo Van hamme This paper addresses the problem of blind speech dereverberation by inverse filtering of a room acoustic system. Since a speech signal can be modeled as being generated by a speech production system driven by an innovations process a reverberant signal is the output of a composite system consisting of the speech production and room acoustic systems. Therefore we need to extract only the part corresponding to the room acoustic system or its inverse filter from the composite system or its inverse filter . The time-variant nature of the speech production system can be exploited for this purpose. In order to realize the time-variance-based inverse filter estimation we introduce a joint estimation of the inverse filters of both the time-invariant room acoustic and the time-variant speech production systems and present two estimation algorithms with distinct properties. Copyright 2007 Takuya Yoshioka et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Room reverberation degrades speech intelligibility or corrupts the characteristics inherent in speech. Hence dereverberation which recovers a clean speech signal from its reverberant version is indispensable for a variety of speech processing applications. In many practical situations only the reverberant speech signal is accessible. Therefore the .
