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[1]
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R. J. Weiss and J. P. Bello.
Unsupervised Discovery of Temporal Structure in Music.
IEEE Journal of Selected Topics in Signal Processing,
5(6):1240-1251, October 2011.
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[2]
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F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel,
M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos,
D. Cournapeau, M. Brucher, M. Perrot, and É. Duchesnay.
scikit-learn: Machine Learning in Python.
Journal of Machine Learning Research, 12:2825-2830, October
2011.
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[3]
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R. J. Weiss, M. I. Mandel, and D. P. W. Ellis.
Combining Localization Cues and Source Model Constraints for
Binaural Source Separation.
Speech Communication, 53(5):606-621, May 2011.
Special issue on Perceptual and Statistical Audition.
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[4]
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T. Bertin-Mahieux, G. Grindlay, R. J. Weiss, and D. P. W. Ellis.
Evaluating Music Sequence Models Through Missing Data.
In Proc. IEEE International Conference on Acoustics, Speech,
and Signal Processing (ICASSP), pages 177-180, May 2011.
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[5]
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R. J. Weiss and J. P. Bello.
Identifying Repeated Patterns in Music Using Sparse Convolutive
Non-Negative Matrix Factorization.
In Proc. International Society for Music Information Retrieval
Conference (ISMIR), pages 123-128, Utrecht, Netherlands, August 2010.
Best Paper Award.
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[6]
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T. Bertin-Mahieux, R. J. Weiss, and D. P. W. Ellis.
Clustering Beat-Chroma Patterns in a Large Music Database.
In Proc. International Society for Music Information Retrieval
Conference (ISMIR), pages 111-116, Utrecht, Netherlands, August 2010.
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[7]
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T. Cho, R. J. Weiss, and J. P. Bello.
Exploring Common Variations in State of the Art Chord
Recognition Systems.
In Proc. Sound and Music Computing Conference (SMC), pages
1-8, Barcelona, Spain, July 2010.
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[8]
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M. I. Mandel, R. J. Weiss, and D. P. W. Ellis.
Model-Based Expectation-Maximization Source Separation and
Localization.
IEEE Transactions on Audio, Speech, and Language Processing,
18(2):382-394, February 2010.
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[9]
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R. J. Weiss and D. P. W. Ellis.
Speech Separation Using Speaker-Adapted Eigenvoice Speech
Models.
Computer Speech and Language, 24(1):16-29, January 2010.
Speech Separation and Recognition Challenge.
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DOI |
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[10]
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R. J. Weiss and D. P. W. Ellis.
A Variational EM Algorithm for Learning Eigenvoice Parameters
in Mixed Signals.
In Proc. IEEE International Conference on Acoustics, Speech,
and Signal Processing (ICASSP), pages 113-116, Taipei, Taiwan, April
2009.
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DOI |
poster |
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[11]
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R. J. Weiss.
Underdetermined Source Separation Using Speaker Subspace
Models.
PhD thesis, Department of Electrical Engineering, Columbia
University, 2009.
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[12]
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R. J. Weiss, M. I. Mandel, and D. P. W. Ellis.
Source Separation Based on Binaural Cues and Source Model
Constraints.
In Proc. Interspeech, pages 419-422, Brisbane, Australia,
September 2008.
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poster |
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[13]
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R. J. Weiss and T. Kristjansson.
DySANA: Dynamic Speech and Noise Adaptation for Voice
Activity Detection.
In Proc. Interspeech, pages 127-130, Brisbane, Australia,
September 2008.
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poster |
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[14]
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R. J. Weiss and D. P. W. Ellis.
Monaural Speech Separation Using Source-Adapted Models.
In Proc. IEEE Workshop on Applications of Signal Processing to
Audio and Acoustics (WASPAA), pages 114-117, New Paltz, USA, October
2007.
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[15]
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R. J. Weiss and D. P. W. Ellis.
Estimating Single-Channel Source Separation Masks: Relevance
Vector Machine Classifiers vs. Pitch-Based Masking.
In Proc. ISCA Tutorial and Research Workshop on Statistical
Perceptual Audition (SAPA), pages 31-36, Pittsburgh, USA, September 2006.
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[16]
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D. P. W. Ellis and R. J. Weiss.
Model-Based Monaural Source Separation Using a Vector-Quantized
Phase-Vocoder Representation.
In Proc. IEEE International Conference on Acoustics, Speech,
and Signal Processing (ICASSP), pages V-957-960, Toulouse, France, May
2006.
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