TR2010-023
Spectrogram Dimensionality Reduction with Independence Constraints
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- , "Spectrogram Dimensionality Reduction with Independence Constraints", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2010.BibTeX TR2010-023 PDF
- @inproceedings{Wilson2010mar,
- author = {Wilson, K.W. and Raj, B.},
- title = {Spectrogram Dimensionality Reduction with Independence Constraints},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2010,
- month = mar,
- url = {https://www.merl.com/publications/TR2010-023}
- }
- , "Spectrogram Dimensionality Reduction with Independence Constraints", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2010.
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Research Areas:
Abstract:
We propose an algorithm to find a low-dimensional decomposition of a spectrogram by formulating this as a regularized non-negative matrix factorization (NMF) problem with a regularization term chosen to encourage independence. This algorithm provides a better decomposition than standard NMF when the underlying sources are independent. It makes better use of additional observation streams than previous nonnegative ICA algorithms.
Related News & Events
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NEWS ICASSP 2010: 9 publications by Anthony Vetro, Shantanu D. Rane and Petros T. Boufounos Date: March 14, 2010
Where: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
MERL Contacts: Anthony Vetro; Petros T. BoufounosBrief- The papers "Privacy and Security of Features Extracted from Minutiae Aggregates" by Nagar, A., Rane, S.D. and Vetro, A., "Hiding Information Inside Structured Shapes" by Das, S., Rane, S.D. and Vetro, A., "Ultrasonic Sensing for Robust Speech Recognition" by Srinivasan, S., Raj, B. and Ezzat, T., "Reconstruction of Sparse Signals from Distorted Randomized Measurements" by Boufounos, P.T., "Disparity Search Range Estimation: Enforcing Temporal Consistency" by Min, D., Yea, S., Arican, Z. and Vetro, A., "Synthesizing Speech from Doppler Signals" by Toth, A.R., Raj, B., Kalgaonkar, K. and Ezzat, T., "Spectrogram Dimensionality Reduction with Independence Constraints" by Wilson, K.W. and Raj, B., "Robust Regression using Sparse Learning for High Dimensional Parameter Estimation Problems" by Mitra, K., Veeraraghavan, A.N. and Chellappa, R. and "Subword Unit Approaches for Retrieval by Voice" by Gouvea, E., Ezzat, T. and Raj, B. were presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).