TR2006-053
Generative Process Tracking for Audio Analysis
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- "Generative Process Tracking for Audio Analysis", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2006, vol. 5, pp. V.BibTeX TR2006-053 PDF
- @inproceedings{Radhakrishnan2006may,
- author = {Radhakrishnan, R. and Divakaran, A.},
- title = {Generative Process Tracking for Audio Analysis},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2006,
- volume = 5,
- pages = {V},
- month = may,
- issn = {1520-6149},
- url = {https://www.merl.com/publications/TR2006-053}
- }
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- "Generative Process Tracking for Audio Analysis", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2006, vol. 5, pp. V.
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Research Areas:
Abstract:
The problem of generative process tracking involves detecting and adapting to changes in the underlying generative process that creates a time series of observations. It has been widely used for visual background modelling to adaptively track the generative process that generates the pixel intensities. In this paper, we extend this idea to audio background modelling and show its applications in surveillance domain. We adaptively learn the parameters of the generative audio background process and detect foreground events. We have tested the effectiveness of the proposed algorithms using synthetic time series data and show its performance on elevator audio surveillance.
Related News & Events
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NEWS ICASSP 2006: 3 publications by Ajay Divakaran and others Date: May 14, 2006
Where: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)Brief- The papers "Generative Process Tracking for Audio Analysis" by Radhakrishnan, R. and Divakaran, A., "Latent Dirichlet Decomposition for Single Channel Speaker Separation" by Raj, B., Shashanka, M.V.S. and Smaragdis, P. and "Secure Sound Classification: Gaussian Mixture Models" by Shashanka, M.V.S. and Smaragdis, P. were presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).