tailieunhanh - Báo cáo hóa học: " Research Article Particle Filter with Integrated Voice Activity Detection for Acoustic Source Tracking"

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 Particle Filter with Integrated Voice Activity Detection for Acoustic Source Tracking | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 50870 11 pages doi 2007 50870 Research Article Particle Filter with Integrated Voice Activity Detection for Acoustic Source Tracking Eric A. Lehmann and Anders M. Johansson Western Australian Telecommunications Research Institute 35 Stirling Highway Perth WA 6009 Australia Received 28 February 2006 Revised 1 August 2006 Accepted 26 August 2006 Recommended by Joe C. Chen In noisy and reverberant environments the problem of acoustic source localisation and tracking ASLT using an array of microphones presents a number of challenging difficulties. One of the main issues when considering real-world situations involving human speakers is the temporally discontinuous nature of speech signals the presence of silence gaps in the speech can easily misguide the tracking algorithm even in practical environments with low to moderate noise and reverberation levels. A natural extension of currently available sound source tracking algorithms is the integration of a voice activity detection VAD scheme. We describe a new ASLT algorithm based on a particle filtering PF approach where VAD measurements are fused within the statistical framework of the PF implementation. Tracking accuracy results for the proposed method is presented on the basis of synthetic audio samples generated with the image method whereas performance results obtained with a real-time implementation of the algorithm and using real audio data recorded in a reverberant room are published elsewhere. Compared to a previously proposed PF algorithm the experimental results demonstrate the improved robustness of the method described in this work when tracking sources emitting real-world speech signals which typically involve significant silence gaps between utterances. Copyright 2007 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION The concept of speaker localisation and tracking using an .