Adaptive signal processing
Multi-sensor fusion: fundamentals and applications with software
Multi-sensor fusion: fundamentals and applications with software
Design principles for intelligent environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
CT '97 Proceedings of the 2nd International Conference on Cognitive Technology (CT '97)
A Robust Method for Speech Signal Time-Delay Estimation in Reverberant Rooms
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 1 - Volume 1
A framework for speech source localization using sensor arrays
A framework for speech source localization using sensor arrays
Probability and Random Processes For EE's (3rd Edition)
Probability and Random Processes For EE's (3rd Edition)
Wideband array processing using a two-sided correlationtransformation
IEEE Transactions on Signal Processing
3D-audio matting, postediting, and rerendering from field recordings
EURASIP Journal on Applied Signal Processing
TUT Acoustic Source Tracking System 2007
Multimodal Technologies for Perception of Humans
Measurement combination for acoustic source localization in a room environment
EURASIP Journal on Audio, Speech, and Music Processing - Intelligent Audio, Speech, and Music Processing Applications
Evaluating real-time audio localization algorithms for artificial audition in robotics
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Low-cost sound-based localization using programmable mixed-signal systems-on-chip
Microelectronics Journal
BeepBeep: A high-accuracy acoustic-based system for ranging and localization using COTS devices
ACM Transactions on Embedded Computing Systems (TECS)
Location Feature Integration for Clustering-Based Speech Separation in Distributed Microphone Arrays
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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This paper presents a general method for the integration of distributed microphone arrays for localization of a sound source. The recently proposed sound localization technique, known as SRP-PHAT, is shown to be a special case of the more general microphone array integration mechanism presented here. The proposed technique utilizes spatial likelihood functions (SLFs) produced by each microphone array and integrates them using a weighted addition of the individual SLFs. This integration strategy accounts for the different levels of access that a microphone array has to different spatial positions, resulting in an intelligent integration strategy that weighs the results of reliable microphone arrays more significantly. Experimental results using 10 2-element microphone arrays show a reduction in the sound localization error from 0.9m to 0.08m at a signal-to-noise ratio of 0 dB. The proposed technique also has the advantage of being applicable to multimodal sensor networks.