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2010

[1]
S.A. Abdallah and M.D. Plumbley. A measure of statistical complexity based on predictive information. Arxiv preprint arXiv:1012.1890, 2010. [ bib ]
[2]
Samer A. Abdallah. Comment on “unified view of prediction and repetition structure in audio signals with application to interest point detection”. IEEE Transactions on Audio, Speech, and Language Processing, 18(5):1063--1065, 2010. [ bib ]
[3]
Samer A. Abdallah and Mark D. Plumbley. Predictive information, multi-information and binding information. Technical Report C4DM-TR-10-10, Queen Mary University of London, 2010. [ bib ]
[4]
A. Anglade, E. Benetos, M. Mauch, and S. Dixon. Improving music genre classification using automatically induced harmony rules. Journal of New Music Research, 39(4):327--339, December 2010. [ bib ]
[5]
Daniele Barchiesi and Joshua Reiss. Reverse engineering of a mix. Journal of the Audio Engineering Society, 58(7/8):563--576, 2010. [ bib | http ]
[6]
M. Barthet, K. Noland, M. Lahne, W. Marsh, and R. Ashworth. Digital signal processing tools to analyse calcium activity in vivo. In EU Workshop on Zebrafish Neurophysiology and Behavior, Queen Mary University of London, 2010. [ bib ]
[7]
M. Barthet and M. Sandler. On the effect of reverberation on musical instrument automatic recognition. In Proc. AES 128th Convention (paper 8110), 2010. [ bib ]
[8]
M. Barthet and M. Sandler. Time-dependent automatic musical instrument recognition in solo recordings. In 7th Int. Symposium on Computer Music Modeling and Retrieval (CMMR 2010), pages 183--194, Malaga (Spain), 2010. [ bib ]
[9]
E. Benetos and S. Dixon. Multiple-F0 estimation of piano sounds exploiting spectral structure and temporal evolution. In ISCA Tutorial and Research Workshop on Statistical and Perceptual Audition, pages 13--18, Makuhari, Japan, September 2010. [ bib ]
[10]
E. Benetos and S. Dixon. Multiple fundamental frequency estimation using spectral structure and temporal evolution rules. In Music Information Retrieval Evaluation eXchange, Utrecht, Netherlands, August 2010. [ bib ]
[11]
C. Cannam, C. Landone, and M. Sandler. Sonic visualiser: An open source application for viewing, analysing, and annotating music audio files. In Proceedings of the ACM Multimedia 2010 International Conference, pages 1467--1468, Firenze, Italy, October 2010. [ bib ]
[12]
Chris Cannam, Michael O. Jewell, Christophe Rhodes, Mark Sandler, and Mark D'Inverno. Linked data and you: Bringing music research software into the semantic web. Journal of New Music Research, 39:313--325, 12/2010 2010. [ bib ]
[13]
M. Chudy and S. Dixon. Towards music performer recognition using timbre features. In Third International Conference of Students of Systematic Musicology, 2010. [ bib ]
[14]
Alice Clifford and Josh Reiss. Calculating time delays of multiple active sources in live sound. In Proceedings of the 129th Audio Engineering Society Convention, November 2010. [ bib | http ]
[15]
Tim Crawford, Matthias Mauch, and Christophe Rhodes. Recognizing classical works in historic recordings. 2010. [ bib ]
[16]
Ivan Damnjanovic, Dan Barry, Dave Dorran, and Joshua D. Reiss. A real-time framework for video time and pitch scale modification. IEEE Transactions on Multimedia, 2010. [ bib | DOI ]
[17]
S. Dixon. Computational modelling of harmony. In 7th International Symposium on Computer Music Modeling and Retrieval, 2010. [ bib ]
[18]
S. Dixon, M. Mauch, and A. Anglade. Probabilistic and logic-based modelling of harmony. In R. Kronland-Martinet, S. Ystad, K. Jensen, and M. Aramaki, editors, CMMR 2010 Post Symposium Proceedings, pages 1--19. Springer, Heidelberg, 2011. [ bib ]
[19]
S. Dixon, M. Sandler, M. d'Inverno, and C. Rhodes. Towards a distributed research environment for music informatics and computational musicology. Journal of New Music Research, 39(4):291--294, 2010. [ bib ]
[20]
E. Perez Gonzalez and Joshua D. Reiss. A real-time semi-autonomous audio panning system for music mixing. EURASIP Journal on Advances in Signal Processing, 2010(436895), 2010. [ bib ]
[21]
S. Hargreaves, C. Landone, M. Sandler, and P. Kudumakis. Segmentation and discovery of podcast content. In Proceedings of the AES 128th Convention, 2010. [ bib ]
[22]
S. Hargreaves, Barthet M., and M. Sandler. Automatic music boundary identification in podcasts based on timbre. In 6e Journées Jeunes Chercheurs en Audition, Acoustique musicale et Signal audio (JJCAAS), 2010. [ bib ]
[23]
K. Jacobson, S. Dixon, and M. Sandler. LinkedBrainz: Providing the MusicBrainz next generation schema as linked data. 2010. [ bib ]
[24]
M. G. Jafari and M. D. Plumbley. A doubly sparse greedy adaptive dictionary learning algorithm for music and large-scale data. In Proc. of AES 128th Convention, 2010. [ bib ]
[25]
A. Klapuri, T. Virtanen, and T. Heittola. Sound source separation in monaural music signals using excitation-filter model and EM algorithm. In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Dallas, Texas, 2010. IEEE. [ bib ]
[26]
S. Kolozali, M. Barthet, G. Fazekas, and M. Sandler. Towards the automatic generation of a semantic web ontology for musical instruments. In 5th International Conference on Semantic and Digital Media Technologies, 2010. [ bib ]
[27]
Panos Kudumakis, Inseon Jang, and Mark Sandler. A new interactive mpeg format for the music industry. In 7th International Symposium on Computer Music Modeling and Retrieval, Málaga, Spain, June 2010. [ bib ]
[28]
R. Macrae and S. Dixon. Accurate real-time windowed time warping. In 11th International Society for Music Information Retrieval Conference, pages 423--428, 2010. [ bib ]
[29]
R. Macrae and S. Dixon. A guitar tablature score follower. In IEEE International Conference on Multimedia {& Expo [ bib ]
[30]
M. Mauch and S. Dixon. Approximate note transcription for the improved identification of difficult chords. In 11th International Society for Music Information Retrieval Conference, pages 135--140, 2010. [ bib ]
[31]
M. Mauch and S. Dixon. Simultaneous estimation of chords and musical context from audio. IEEE Transactions on Audio, Speech and Language Processing, 18(6):1280--1289, 2010. [ bib ]
[32]
Matthias Mauch. Automatic Chord Transcription Using Computational Models of Musical Context. PhD thesis, 2010. [ bib ]
[33]
L. Mearns and S. Dixon. How do you characterise musical style? In Third International Conference of Students of Systematic Musicology, 2010. [ bib ]
[34]
L. Mearns, D. Tidhar, and S. Dixon. Characterisation of composer style using high-level musical features. In 3rd ACM Workshop on Machine Learning and Music, 2010. [ bib ]
[35]
Lesley Mearns, Dan Tidhar, and Simon Dixon. Characterisation of composer style using high-level musical features. In MML '10 Proceedings of 3rd international workshop on Machine learning and music, pages 37--40, 2010. [ bib ]
[36]
Tim Murray-Browne, Di Mainstone, Nick Bryan-Kinns, and Mark D. Plumbley. The Serendiptichord: A wearable instrument for contemporary dance performance. In Proceedings of the 128th Convention of the Audio Engineering Society, London, UK, 2010. [ bib ]
[37]
Enrique Perez Gonzalez and J. Reiss. A real-time semi-autonomous audio panning system for music mixing. Journal Advances in Signal Processing, Special Issue on Digital Audio Effects, Jan 2010. [ bib ]
[38]
Rebecca Stewart and Mark Sandler. Database of omnidirectional and B-format room impulse responses. In IEEE Conference on Acoustics, Speech and Signal Processing, Dallas, TX, March 2010. [ bib ]
[39]
D. Stowell. Making music through real-time voice timbre analysis: machine learning and timbral control. PhD thesis, School of Electronic Engineering and Computer Science, Queen Mary University of London, 2010. [ bib | http ]
[40]
D. Stowell and M. D. Plumbley. Birdsong and C4DM: A survey of UK birdsong and machine recognition for music researchers. Technical Report C4DM-TR-09-12, Centre for Digital Music, Queen Mary University of London, Aug 2010. [ bib | .pdf ]
[41]
D. Stowell and M. D. Plumbley. Cross-associating unlabelled timbre distributions to create expressive musical mappings. In Proceedings of the 2010 Workshop on Applications of Pattern Analysis (WAPA2010), 2010. [ bib ]
[42]
D. Stowell and M. D. Plumbley. Delayed decision-making in real-time beatbox percussion classification. Journal of New Music Research, 39(3):203--213, Sep 2010. [ bib | DOI ]
[43]
D. Stowell and M. D. Plumbley. Timbre remapping through a regression-tree technique. In Proceedings of Sound and Music Computing, pages 45--50, 2010. [ bib ]
[44]
M. J. Terrell, J. D. Reiss, and M. Sandler. Automatic noise gate settings for drum recordings containing bleed from secondary sources. EURASIP Journal on Advances in Signal Processing, 2010:1--9, 2010. [ bib ]
[45]
Michael Terrell, Joshua D. Reiss, and Mark Sandler. Automatic noise gate settings for drum recordings containing bleed from secondary sources. EURASIP J. Adv. Signal Process, 2010:10:1--10:9, February 2010. [ bib | DOI ]
[46]
Michael Terrell and Mark Sandler. Optimizing the controls of homogeneous loudspeaker arrays. In Audio Engineering Society Convention 129, 11 2010. [ bib | http ]
[47]
D. Tidhar, G. Fazekas, M. Mauch, and S. Dixon. Temperament estimation as an MIR task. 2010. [ bib ]
[48]
D. Tidhar, G. Fazekas, M. Mauch, and S. Dixon. TempEst: Harpsichord temperament estimation in a semantic-web environment. Journal of New Music Research, 39(4):327--336, 2010. [ bib ]
[49]
D. Tidhar, M. Mauch, and S. Dixon. High precision frequency estimation for harpsichord tuning classification. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pages 61--64, 2010. [ bib ]
[50]
Thomas Wilmering, Gyorgy Fazekas, and Mark Sandler. The effects of reverberation on onset detection tasks. 2010. [ bib ]
[51]
Thomas Wilmering and Mark Sandler. Rdfx: Audio effects utilising musical metadata. 2010. [ bib ]
[52]
Wen Xue and M. Sandler. On the characterization of slowly varying sinusoids. EURASIP J. Au. Sp. Mus. Proc., (941732), 2010. [ bib ]
[53]
Wen Xue and M. Sandler. Source-filter modeling in sinusoid domain. J. Au. Eng. Soc., 58, 2010. [ bib ]

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