A framework for speech source localization using sensor arrays
A framework for speech source localization using sensor arrays
Time difference of arrival estimation of speech source in a noisy and reverberant environment
Signal Processing - Content-based image and video retrieval
Passive acoustic source localization for video camera steering
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Nonlinear filtering for speaker tracking in noisy and reverberant environments
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
EURASIP Journal on Applied Signal Processing
Performance of GCC-and AMDF-based time-delay estimation in practical reverberant environments
EURASIP Journal on Applied Signal Processing
Kalman filters for time delay of arrival-based source localization
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
Time delay estimation in room acoustic environments: an overview
EURASIP Journal on Applied Signal Processing
Microphone array speaker localizers using spatial-temporal information
EURASIP Journal on Applied Signal Processing
Particle filter with integrated voice activity detection for acoustic source tracking
EURASIP Journal on Applied Signal Processing
Binaural source localization by joint estimation of ILD and ITD
IEEE Transactions on Audio, Speech, and Language Processing
Acoustic source localization and tracking using track before detect
IEEE Transactions on Audio, Speech, and Language Processing
A simple and efficient estimator for hyperbolic location
IEEE Transactions on Signal Processing
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
Audiovisual Probabilistic Tracking of Multiple Speakers in Meetings
IEEE Transactions on Audio, Speech, and Language Processing
Binaural Tracking of Multiple Moving Sources
IEEE Transactions on Audio, Speech, and Language Processing
Audio–Visual Active Speaker Tracking in Cluttered Indoors Environments
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Audio, Speech, and Language Processing
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Room reverberation introduces multipath components into an audio signal and causes problems for acoustic source localization and tracking. Existing tracking methods based on the extended Kalman filter (EKF) and sequential importance resampling based particle filter (SIR-PF) usually assume that a single source is constantly active in the tracking scene. Assuming that multiple talkers may appear alternatively during a conversation, this paper develops an extended Kalman particle filtering (EKPF) approach for nonconcurrent multiple acoustic tracking (NMAT). Essentially, an EKF is introduced to obtain an optimum importance sampling, by which the particles are drawn according to the current time-delay of arrival (TDOA) measurements as well as the previous position estimates. Hence, the proposed approach can quickly adapt to the sharp position change when the source switches and the tracking lag in SIR-PF can be avoided. Moreover, the amplitude of the TDOA measurement is investigated to formulate a measurement hypothesis prior. Such a prior is fused into the tracking algorithm to enhance the tracking accuracy. Both simulations and real audio lab experiments are organized to study the tracking performance. The results demonstrate that the proposed EKPF approaches outperforms the SIR-PF and EKF in a broad range of tracking scenarios.