Ali Taylan Cemgil's Publications

Audio Signal Processing

 

A. T. Cemgil. Bayesian inference in non-negative matrix factorisation models. Technical Report CUED/F-INFENG/TR.609, University of Cambridge, July 2008.
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P. H. Peeling, A. T. Cemgil, and S. J. Godsill. Bayesian hierarchical models and inference for musical audio processing. In International Symposium on Wireless Pervasive Computing, Santorini, Greece, May 2008. IEEE.
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O. Dikmen and A. T. Cemgil. Inference and parameter estimation in gamma chains. Technical Report CUED/F-INFENG/TR.596, University of Cambridge, February 2008.
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T. O. Virtanen, A. T. Cemgil, and S. J. Godsill. Bayesian extensions to nonnegative matrix factorisation for audio signal modelling. In Proc. of IEEE ICASSP 08, Las Vegas, 2008. IEEE.
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D. Clark, A. T. Cemgil, P. Peeling, and S. Godsill. Multi-object tracking of sinusoidal components in audio with the gaussian mixture probability hypothesis density filter. In Proc. of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, October 2007.
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A. T. Cemgil, P. Peeling, O. Dikmen, and S. J. Godsill. Prior structures for time-frequency energy distributions. In Proc. of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, October 2007.
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A. T. Cemgil and O. Dikmen. Conjugate gamma Markov random fields for modelling nonstationary sources. In ICA 2007, 7th International Conference on Independent Component Analysis and Signal Separation, September 2007.
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S.J. Godsill, A.T. Cemgil, C. Fevotte, and P.J. Wolfe. Bayesian computational methods for sparse audio and music processing. In 15th European Signal Processing Conference. EURASIP, 2007.
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A. T. Cemgil. Strategies for sequential inference in factorial switching state space models. In Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP 07), pages 513-516, Honolulu, Hawaii, 2007.
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A. T. Cemgil, C. Fevotte, and S. J. Godsill. Variational and Stochastic Inference for Bayesian Source Separation. Digital Signal Processing, 17(5):891-913, 2007. Special Issue on Bayesian Source Separation.
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A. T. Cemgil. Sequential inference for Factorial Changepoint Models. In Nonlinear Statistical Signal Processing Workshop, Cambridge, UK, 2006. IEEE.
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A. T. Cemgil and S. J. Godsill. Efficient Variational Inference for the Dynamic Harmonic Model. In Proc. of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, NY, October 2005.
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A. T. Cemgil and S. J. Godsill. Probabilistic Phase Vocoder and its application to Interpolation of Missing Values in Audio Signals. In 13th European Signal Processing Conference, Antalya/Turkey, 2005. EURASIP.
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A. T. Cemgil, C. Fevotte, and S. J. Godsill. Blind Separation of Sparse Sources using Variational EM. In 13th European Signal Processing Conference, Antalya/Turkey, 2005. EURASIP.
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Polyphonic Pitch Tracking

 

A. T. Cemgil, H. J. Kappen, and D. Barber. A Generative Model for Music Transcription. IEEE Transactions on Audio, Speech and Language Processing, 14(2):679-694, March 2006.
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A. T. Cemgil. Bayesian Music Transcription. PhD thesis, Radboud University of Nijmegen, 2004.
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A. T. Cemgil. Polyphonic Pitch Identification and Bayesian Inference. In Proceedings of the International Computer Music Conference, Miami, FL, 2004.
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A. T. Cemgil, H. J. Kappen, and D. Barber. Generative Model based Polyphonic Music Transcription. In Proc. of IEEE WASPAA, New Paltz, NY, October 2003. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.
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A.T. Cemgil, D. Barber, and H. J. Kappen. A Dynamical Bayesian Network for Tempo and Polyphonic Pitch tracking. In Proceedings of ICANN, Istanbul/Turkey, 2003.
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A. T. Cemgil. Automated Music Transcription. Master's thesis, Bogazici University, 1995.
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A. T. Cemgil, H. Caglar, and E. Anarim. Comparison of Wavelet Filters for Pitch Detection of Monophonic Music Signals. In Proceedings of European Conference on Circuit Theory and Design, (ECCTD95), 1995.
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Rhythm Quantization and Tempo Tracking

 

T. van Kasteren, B. Krose, and A. T. Cemgil. Realtime simultaneous tempo tracking and rhythm quantization in music. In Proceedings of Belgian-Dutch Conference on Artificial Intelligence (BNAIC), October 2007.
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N. Whiteley, A. T. Cemgil, and S. J. Godsill. Sequential Inference of Rhythmic Structure in Musical Audio. In Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP 07), pages 1321-1324. IEEE, April 2007.
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P. Peeling, A. T. Cemgil, and S. J. Godsill. A probabilistic framework for matching music representations. In Proceedings of International Conference on Music Information Retrieval, Vienna, 2007. ISMIR.
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N. Whiteley, A. T. Cemgil, and S. J. Godsill. Bayesian modelling of temporal structure in musical audio. In Proceedings of International Conference on Music Information Retrieval, Victoria, Canada, 2006.
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A. T. Cemgil and H. J. Kappen. Monte Carlo methods for Tempo Tracking and Rhythm Quantization. Journal of Artificial Intelligence Research, 18:45-81, 2003.
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A. T. Cemgil and H. J. Kappen. Rhythm Quantization and Tempo Tracking by Sequential Monte Carlo. In Thomas G. Dietterich, Sue Becker, and Zoubin Ghahramani, editors, Advances in Neural Information Processing Systems 14, pages 1361-1368. MIT Press, 2002.
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A.T. Cemgil and H. J. Kappen. Integrating Tempo Tracking and Quantization using Particle filtering. In Proceedings of the 2002 International Computer Music Conference, pages 419-422, Gothenburg/Sweden, 2002.
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A. T. Cemgil, H. J. Kappen, P. Desain, and H. Honing. On tempo tracking: Tempogram Representation and Kalman filtering. Journal of New Music Research, 28:4:259-273, 2001.
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A.T. Cemgil and H. J. Kappen. A Dynamic Belief Network implementation for Realtime Music Transcription. In Proceedings of the Belgian-Dutch Conference on Artificial Intelligence 2001, Amsterdam, 2001.
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A. T. Cemgil, P. Desain, and H. J. Kappen. Rhythm Quantization for Transcription. Computer Music Journal, 24:2:60-76, 2000.
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A.T. Cemgil, H. J. Kappen, P. Desain, and H. Honing. On tempo tracking: Tempogram Representation and Kalman filtering. In Proceedings of the 2000 International Computer Music Conference, pages 352-355, Berlin, 2000. (This paper has received the Swets and Zeitlinger Distinguished Paper Award of the ICMC 2000).
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A. T. Cemgil, P. Desain, and H. J. Kappen. Rhythm Quantization for Transcription. In Proceedings of the AISB'99 Symposium on Musical Creativity, pages 140-146, Edinburgh, UK, April 1999. AISB.
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Computer Vision and Image Processing

 

D. Excell, A. T. Cemgil, and W. J. Fitzgerald. Generative model for human motion recognition. In Proceedings of 5th International Symposium Image and Signal Processing, Istanbul, Turkey, 2007. IEEE.
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W. Zajdel, A.T. Cemgil, and B.J.A. Kröse. Smart Sensing and Context, chapter Dynamic Bayesian Networks for Visual Surveillance with Distributed Cameras, pages 240-243. Lecture Notes in Computer Science. Springer, 2006. Won the best poster award in EuroSSC 2006.
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Z. Zivkovic, A. T. Cemgil, and B. J. A. Kröse. Approximate bayesian methods for kernel-based object tracking. Submitted, 2006.
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A. T. Cemgil, W. Zajdel, and B. Kröse. A hybrid graphical model for robust feature extraction from video. In C. Schmid, S. Soatto, and C. Tomasi, editors, IEEE Computer Vision and Pattern Recognition (CVPR), pages 1158-1165, San Diego, June 2005.
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W. Zajdel, A.T. Cemgil, and B.J.A. Kröse. A probabilistic model of spatial pixel correlations for background segmentation. Submitted, 2005.
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W. Zajdel, A.T. Cemgil, and B.J.A. Kröse. Online multicamera tracking with a switching state-space model. In IEEE Int. Conf. on Pattern Recognition, pages 339-343, 2004.
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T. Sülün, A. T. Cemgil, J. M. P. Duc, P. Rammelsberg, and L. Jäger. Morphology of the mandibular fossa and inclination of the articular eminence in patients with internal derangement and in symptom-free volunteers. Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology and Endodontology, 92:98-107, 2001.
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W. Zajdel, A.T. Cemgil, and B.J.A. Kröse. Hybrid graphical model for online multicamera tracking. Submitted.
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Misc. Music

 

A.T. Cemgil and H. J. Kappen. Bayesian real-time adaptation for interactive performance systems. In Proceedings of the 2001 International Computer Music Conference, pages 147-150, Habana/Cuba, 2001.
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A.T Cemgil and F. Gürgen. Classification of musical instrument sounds using artificial neural networks. In Proceedings of SIU97, 1997.
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A.T Cemgil and C. Erkut. Calibration of physical models using artifical neural networks with application to plucked string instruments. In Proceedings of ISMA97, International Symposium on Musical Acoustics, Edinburgh UK, 1997.
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Technical Notes and Tutorials

 

A. T. Cemgil. Time series models, importance sampling and sequential monte carlo, March 2007. Slides for the 5R1, Stochastic Processes Lecture.
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A. T. Cemgil. Mcmc methods for bayesian inference, March 2007. Slides for the 5R1, Stochastic Processes Lecture.
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A. T. Cemgil. Hierarchical bayesian models for audio and music signal processing, 2007. Slides from my talk at the Music Cognition Workshop at NIPS 2007.
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A. T. Cemgil. The probability hypothesis density filter, a tutorial, 2007. Slides from my talk at the Approximate Bayesian Inference in Continuous/Hybrid Systems Workshop at NIPS 2007.
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A. T. Cemgil. Bayesian methods for music signal analysis, October 2006. Slides for the tutorial given at ISMIR 2006, Victoria, Canada.
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A. T. Cemgil. Introduction to numerical bayesian methods, September 2006. Slides for a tutorial I have given in Bogazici University.
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A. T. Cemgil. Introduction to numerical bayesian methods, March 2006. Slides for IEE Professional Development Course on Adaptive Signal Processing, Birmingham, UK.
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A. T. Cemgil. A practical review of matrix calculus.
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A. T. Cemgil. A technique for painless derivation of kalman filtering recursions.
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