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Báo cáo hóa học: " Research Article Performance Improvement of TDOA-Based Speaker Localization in Joint Noisy and Reverberant Conditions"

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 Performance Improvement of TDOA-Based Speaker Localization in Joint Noisy and Reverberant Conditions | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2011 Article ID 621390 13 pages doi 10.1155 2011 621390 Research Article Performance Improvement of TDOA-Based Speaker Localization in Joint Noisy and Reverberant Conditions Hamid Reza Abutalebi EURASIP Member 1 2 and Hossein Momenzadeh1 1 Speech Processing Research Lab SPRL Electrical and Computer Engineering Department Yazd University 89195-741 Yazd Iran 2 Idiap Research Institute CH-1920 Martigny Switzerland Correspondence should be addressed to Hamid Reza Abutalebi habutalebi@yazduni.ac.ir Received 30 April 2010 Revised 15 October 2010 Accepted 14 January 2011 Academic Editor Ioannis Psaromiligkos Copyright 2011 H. R. Abutalebi and H. Momenzadeh. 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. TDOA- time difference of arrival- based algorithms are common methods for speech source localization. The generalized cross correlation GCC method is the most important approach for estimating TDOA between microphone pairs. The performance of this method significantly degrades in the presence of noise and reverberation. This paper addresses the problem of 3D localization in joint noisy and reverberant conditions and a single-speaker scenario. We first propose a modification to make the GCC-PHAse transform GCC-PHAT method robust against environment noise. Then we use an iterative technique that employs location estimation to improve TDOAs accuracy. Extensive experiments on both simulated and real practical data in a single-source scenario show the capability of the proposed methods to significantly improve TDOA accuracy and consequently source location estimates. 1. Introduction The ever-increasing communication between humans and machines needs localizing and tracking of acoustic sources. Automatic camera tracking for .