A Track before detect approach for sequential bayesian tracking of multiple speech sources

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 4974-4977

  Pertilä, Pasi ^a   Hämäläinen, Matti S ^b  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^b NOKIA RESEARCH CENTER   (United States)

Author keywords

Acoustic tracking; Likelihood ratio; Multiple sources; Particle filters; Track management

Indexed keywords

BANDPASS FILTERS; DISTRIBUTED COMPUTER SYSTEMS; MONTE CARLO METHODS; SIGNAL PROCESSING; SPEECH RECOGNITION;

ACOUSTIC TRACKING; BAYESIAN TRACKING; LIKELIHOOD RATIOS; MULTIPLE ACOUSTIC SOURCES; MULTIPLE SOURCE; PARTICLE FILTER; SOURCE TRACKING; TRACK BEFORE DETECT; TRACK MANAGEMENT; TRACKING METHOD;

SIGNAL TO NOISE RATIO;

EID: 78049375398     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495092     Document Type: Conference Paper

References (12)

1. B. Champagne, S. Bedard, and A. Stephenne, "Performance of time-delay estimation in the presence of room reverberation," IEEE Trans. Speech Audio Process., vol. 4, no. 2, pp. 148-152, 1996.
2. J. H. DiBiase, A High-Accuracy, Low-Latency Technique for Talker Localization in Reverberant Environments UsingMicrophone Arrays, Ph.D. thesis, Brown University, Providence, RI, USA, May 2000.
3. Eric A. Lehmann, Particle Filtering Methods for Acoustic Source Localisation and Tracking, Ph.D. thesis, Australian National University (ANU), Canberra, Australia, July 2004.
4. Y. Boers and J.N. Driessen, "Particle filter based detection for tracking," in Proc. ACC'01, 2001, vol. 6, pp. 4393-4397.
5. M. Fallon, "Multi target acoustic source tracking with an unknown and time varying number of targets," in Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008, May 2008, pp. 77-80.
6. A. Brutti, M. Omologo, and P. Svaizer, "A Sequential Monte Carlo Approach for Tracking of Overlapping Acoustic Sources," in EUSIPCO, 2009, pp. 2559-2563.
7. J.-M. Valin, F.Michaud, and J. Rouat, "Robust localization and tracking of simultaneous moving sound sources using beamforming and particle filtering.," Robotics and Autonomous Systems Journal (Elsevier), vol. 55, no. 3, pp. 216-228, 2007.
8. V. Rozgic, C. Busso, P.G. Georgiou, and S. Narayanan, "Multimodal meeting monitoring: Improvements on speaker tracking and segmentation through a modified mixture particle filter," in MMSP'07, 2007, pp. 60-65.
9. K. Bernardin and R. Stiefelhagen, "EvaluatingMultiple Object Tracking Performance: The CLEARMOT Metrics," EURASIP Journal on Image and Video Processing, p. 10, 2008.
10. G. Lathoud, "Spatio-Temporal Analysis of Spontaneous Speech with Microphone Arrays", Ph.D. thesis, École Polytechnique Fédérale de Lausanne, Dec. 2006.
11. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A Tutorial on Particle Filters for On-line Non-linear/Non-Gaussian Bayesian tracking," IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 174-188, 2002.
12. R. Arndt, R. Schweiger, W. Ritter, D. Paulus, and O. Löhlein, "Detection and tracking of multiple pedestrians in automotive applications," in IEEE Proc. IV'07, 2007, pp. 13-18.