Statistical Digital Signal Processing and Modeling
Statistical Digital Signal Processing and Modeling
Adaptive wideband aeroacoustic array processing
SSAP '96 Proceedings of the 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing (SSAP '96)
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
Robotics and Autonomous Systems
Classification of time delay estimates for robust speaker localization
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
EURASIP Journal on Applied Signal Processing
k-means++: the advantages of careful seeding
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Time delay estimation in room acoustic environments: an overview
EURASIP Journal on Applied Signal Processing
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
Estimation of sound source number and directions under a multi-source environment
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Robust speaker's location detection in a vehicle environment using GMM models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Blind beamforming on a randomly distributed sensor array system
IEEE Journal on Selected Areas in Communications
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Sound source localization is an important feature in robot audition. This work proposes a sound source number and directions estimation method under a multisource reverberant environment. An eigenstructure-based generalized cross-correlation method is proposed to estimate time delay among microphones. A source is considered as a candidate if the corresponding time delay combination among microphones gives reasonable sound speed estimation. Under reverberation, some candidates might be spurious but their direction estimations are not consistent for consecutive data frames. Therefore, an adaptive K-means++ algorithm is proposed to cluster the accumulated results from the sound speed selection mechanism. Experimental results demonstrate the performance of the proposed algorithm in a real room.