Publications

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2014

[1]

D Barchiesi and MD Plumbley. Learning incoherent subspaces: Classification via incoherent dictionary learning. Journal of Signal Processing Systems, 2014. [ bib ]

[2]

E. Benetos, S. Ewert, and T. Weyde. Automatic transcription of pitched and unpitched sounds from polyphonic music. In IEEE International Conference on Acoustics, Speech, and Signal Processing, pages 3131--3135, Florence, Italy, May 2014. [ bib | DOI ]

[3]

Chris Cannam, Emmanouil Benetos, Matthias Mauch, Matthew E. P. Davies, Simon Dixon, Christian Landone, Katy C. Noland, and Dan Stowell. Mirex 2014: Vamp plugins from the centre for digital music, 2014. [ bib ]

[4]

Mark Cartwright, Bryan Pardo, and Josh Reiss. Mixploration: rethinking the audio mixer interface. In Proceedings of the 19th international conference on Intelligent User Interfaces, pages 365--370. ACM, 2014. [ bib ]

[5]

Shauna Concannon and Matthew Purver. Inferring cultural preference of arts audiences through twitter data. In Digital Intelligence, Nantes, September 2014. [ bib | .pdf ]

[6]

Shana Dacres, Hamed Haddadi, and Matthew Purver. Topic and sentiment analysis on OSNs: a case study of advertising strategies on twitter. In Proceedings of the 6th ASE International Conference on Social Computing, May 2014. [ bib | http ]

[7]

Brecht De Man, Brett Leonard, Richard King, and Joshua D. Reiss. An analysis and evaluation of audio features for multitrack music mixtures. 15th International Society for Music Information Retrieval Conference (ISMIR 2014), October 2014. [ bib ]

[8]

Brecht De Man, Mariano Mora-Mcginity, Gyorgy Fazekas, and Joshua D. Reiss. The open multitrack testbed. In 137th Convention of the Audio Engineering Society, October 2014. [ bib ]

[9]

Brecht De Man and Joshua D. Reiss. Adaptive control of amplitude distortion effects. In 53rd Conference of the Audio Engineering Society, January 2014. [ bib ]

[10]

Brecht De Man and Joshua D. Reiss. Analysis of peer reviews in music production. In 9th Art of Record Production Conference, December 2014. [ bib ]

[11]

Brecht De Man and Joshua D. Reiss. APE: Audio perceptual evaluation toolbox for matlab. In 136th Convention of the Audio Engineering Society, April 2014. [ bib ]

[12]

D England, L Candy, J Spence, T Schiphorst, C Latulipe, N Bryan-Kinns, E Edmonds, and K Woolford. Art and interaction sig: Cataloging the digital arts. In Conference on Human Factors in Computing Systems - Proceedings, pages 1115--1118, 2014. [ bib ]

[13]

D England, E Edmonds, J Spence, L Candy, C Latulipe, T Schiphorst, K Woolford, and N Bryan-Kinns. Curating the digital: Spaces for art and interaction. In Conference on Human Factors in Computing Systems - Proceedings, pages 21--24, 2014. [ bib ]

[14]

S Ewert, B Pardo, M Mueller, and MD Plumbley. Score-informed source separation for musical audio recordings: An overview. IEEE Signal Processing Magazine, 31:116--124, May 2014. [ bib | DOI | http ]

[15]

S Ewert, MD PLUMBLEY, and M Sandler. Accounting for phase cancellations in non-negative matrix factorization using weighted distances. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), pages 649--653. Florence, Italy, IEEE, May 2014. [ bib ]

[16]

Christine Farion and Matthew Purver. Did you pack your keys? smart objects and forgetfulness. In CHI '14 Extended Abstracts on Human Factors in Computing Systems, pages 539--542, Toronto, Canada, April 2014. ACM. [ bib | DOI | http ]

[17]

P. Foster, M. Mauch, and S. Dixon. Sequential complexity as a descriptor for musical similarity. IEEE/ACM Transactions on Audio, Speech, and Language Processing. (To appear). [ bib ]

[18]

Jesús García, Costantino Taglialatela, Panos Kudumakis, Isabel Barbancho, Lorenzo Tardon, and Mark Sandler. Interactive music applications by mpeg-a support in sonic visualizer. In Audio Engineering Society Conference: 53rd International Conference: Semantic Audio. Audio Engineering Society, 2014. [ bib ]

[19]

D Giannoulis, E Benetos, A Klapuri, and MD PLUMBLEY. Improving instrument recognition in polyphonic music through system integration. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), pages 5259--5263. Florence, Italy, IEEE, May 2014. [ bib ]

[20]

Stanislaw Gorlow, Joshua D Reiss, and Elodie Duru. Restoring the dynamics of clipped audio material by inversion of dynamic range compression. In Broadband Multimedia Systems and Broadcasting (BMSB), 2014 IEEE International Symposium on, pages 1--5. IEEE, 2014. [ bib ]

[21]

Steven Hargreaves, Geraint Wiggins, and Mark Sandler. A semantic web approach to pattern discovery in data and music. In Audio Engineering Society Conference: 53rd International Conference: Semantic Audio. Audio Engineering Society, 2014. [ bib ]

[22]

Patrick G.T. Healey, Matthew Purver, and Christine Howes. Divergence in dialogue. PLoS ONE, 9(6):e98598, June 2014. [ bib | DOI | http ]

[23]

S Heitlinger, N Bryan-Kinns, and J Jefferies. The talking plants: An interactive system for grassroots urban food-growing communities. In Conference on Human Factors in Computing Systems - Proceedings, pages 459--462, 2014. [ bib ]

[24]

Julian Hough and Matthew Purver. Lattice theoretic relevance in incremental reference processing. In Proceedings of the RefNet Workshop on Psychological and Computational Models of Reference Comprehension and Production, Edinburgh, August 2014. [ bib | .pdf ]

[25]

Julian Hough and Matthew Purver. Probabilistic type theory for incremental dialogue processing. In Proceedings of the EACL 2014 Workshop on Type Theory and Natural Language Semantics (TTNLS), pages 80--88, Gothenburg, Sweden, April 2014. Association for Computational Linguistics. [ bib | http ]

[26]

Julian Hough and Matthew Purver. Strongly incremental repair detection. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), Doha, Qatar, October 2014. Association for Computational Linguistics. to appear. [ bib | http ]

[27]

Christine Howes, Julian Hough, Matthew Purver, and Rose McCabe. Helping, i mean assessing psychiatric communication: An application of incremental self-repair detection. In Proceedings of the 18th SemDial Workshop on the Semantics and Pragmatics of Dialogue (DialWatt), pages 80--89, Edinburgh, September 2014. [ bib | .pdf ]

[28]

Christine Howes, Matthew Purver, and Rose McCabe. Linguistic indicators of severity and progress in online text-based therapy for depression. In Proceedings of the ACL Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, pages 7--16, Baltimore, Maryland, USA, June 2014. Association for Computational Linguistics. [ bib | http ]

[29]

Ruth Kempson, Ronnie Cann, Arash Eshghi, Eleni Gregoromichelaki, and Matthew Purver. Ellipsis. In S. Lappin and C. Fox, editors, Handbook of Contemporary Semantic Theory, chapter 3. Wiley, 2nd edition, to appear. [ bib | .pdf ]

[30]

Panos Kudumakis, Mark Sandler, Angelos-Christos G Anadiotis, Iakovos S Venieris, Angelo Difino, Xin Wang, Giuseppe Tropea, Michael Grafl, Víctor Rodríguez-Doncel, Silvia Llorente, et al. Mpeg-m: A digital media ecosystem for interoperable applications. Signal Processing: Image Communication, 29(1):150--166, 2014. [ bib ]

[31]

Bingo Wing-Kuen Ling, Charlotte Yuk-Fan Ho, Qingyun Dai, and Joshua D Reiss. Reduction of quantization noise via periodic code for oversampled input signals and the corresponding optimal code design. Digital Signal Processing, 24:209--222, 2014. [ bib ]

[32]

Jeni Maleshkova and Matthew Purver. Beyond the white cube: Presentation of visual art in interactive 3D environments. In Proceedings of Electronic Visualisation and the Arts (EVA), pages 247--254, London, July 2014. [ bib | DOI | http ]

[33]

Stephen McGregor, Geraint Wiggins, and Matthew Purver. Computational creativity: A philosophical approach, and an approach to philosophy. In Proceedings of the 5th International Conference on Computational Creativity (ICCC), Ljubljana, Slovenia, June 2014. [ bib | http ]

[34]

Dmitrijs Milajevs, Dimitri Kartsaklis, Mehrnoosh Sadrzadeh, and Matthew Purver. Evaluating neural word representations in tensor-based compositional settings. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), Doha, Qatar, October 2014. Association for Computational Linguistics. to appear. [ bib | http ]

[35]

Dmitrijs Milajevs and Matthew Purver. Investigating the contribution of distributional semantic information for dialogue act classification. In Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC), pages 40--47, Gothenburg, Sweden, April 2014. Association for Computational Linguistics. [ bib | http ]

[36]

Tim Murray-Browne and Mark D. Plumbley. Harmonic motion: A toolkit for processing gestural data for interactive sound. In Proceedings of the International Conference on New Interfaces for Musical Expression, pages 213--216, London, UK, 2014. [ bib ]

[37]

K O'Hanlon and MD Plumbley. Polyphonic piano transcription using non-negative matrix factorisation and group sparsity. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), pages 3136--3140. Florence, Italy, IEEE, 2014. [ bib ]

[38]

P Pestana and J Reiss. A cross-adaptive dynamic spectral panning technique. Proceedings of the 17th International Conference on Digital Audio Effects (DAFx-14), Erlangen, Germany, 2014. [ bib ]

[39]

Pedro Pestana and Joshua Reiss. Intelligent audio production strategies informed by best practices. In Audio Engineering Society Conference: 53rd International Conference: Semantic Audio. Audio Engineering Society, 2014. [ bib ]

[40]

Matthew Purver. A simple baseline for discriminating similar languages. In Proceedings of the 1st COLING Workshop on Applying NLP Tools to Similar Languages, Varieties and Dialects (VarDial), pages 155--160, Dublin, August 2014. Association for Computational Linguistics. [ bib | .pdf ]

[41]

Matthew Purver, Julian Hough, and Eleni Gregoromichelaki. Dialogue and compound contributions. In A. Stent and S. Bangalore, editors, Natural Language Generation in Interactive Systems, pages 63--92. Cambridge University Press, June 2014. [ bib | http ]

[42]

Josh Reiss, Zheng Ma, and Dawn Black. Partial loudness in multitrack mixing. In Audio Engineering Society Conference: 53rd International Conference: Semantic Audio. Audio Engineering Society, 2014. [ bib ]

[43]

Andrew JR Simpson, Nicol S Harper, Joshua D Reiss, and David McAlpine. Selective adaptation to “oddball” sounds by the human auditory system. The Journal of Neuroscience, 34(5):1963--1969, 2014. [ bib ]

[44]

Ryan Stables, Sean Enderby, Brecht De Man, Gyorgy Fazekas, and Joshua D. Reiss. Safe: A system for the extraction and retrieval of semantic audio descriptors. In 15th International Society for Music Information Retrieval Conference (ISMIR 2014), October 2014. [ bib ]

[45]

D. Stowell. Case study: How OpenStreetMap used humans and machines to map affected areas after Typhoon Haiyan. In C. Silverman, editor, The Verification Handbook. European Journalism Centre, Jan 2014. [ bib | http ]

[46]

D. Stowell. Renewal processes and semi-markov processes in animal vocalisations: A response to kershenbaum et al. Proceedings of the Royal Society B, 281(eLetters), 2014. [ bib | http ]

[47]

D. Stowell and M. D. Plumbley. Feature design for multilabel bird song classification in noise (nips4b challenge). In Proceedings of NIPS4b: Neural Information Processing Scaled for Bioacoustics, from Neurons to Big Data, 2013. [ bib ]

[48]

D. Stowell and M. D. Plumbley. Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning. PeerJ, 2:e488, 2014. [ bib | DOI | arXiv ]

[49]

D. Stowell and M. D. Plumbley. Large-scale analysis of frequency modulation in birdsong databases. Methods in Ecology and Evolution, 2014. [ bib | DOI | http ]

[50]

D. Stowell and M. D. Plumbley. An open dataset for research on audio field recording archives: freefield1010. In Proceedings of the Audio Engineering Society 53rd Conference on Semantic Audio (AES53). Audio Engineering Society, 2014. [ bib | DOI ]

[51]

J. W. Topliss, Zappi V., and McPherson A. Latency performance for real-time audio on beaglebone black. In Proceedings of the Linux Audio Conference 2014, 2014. [ bib ]

[52]

T. Weyde, S. Cottrell, J. Dykes, E. Benetos, D. Wolff, D. Tidhar, N. Gold, S. Abdallah, M. Plumbley, S. Dixon, M. Barthet, M. Mahey, A. Tovell, and A. Alancar-Brayner. Big data for musicology. In 1st International Digital Libraries for Musicology Workshop, pages 85--87, London, UK, September 2014. [ bib ]

[53]

Guangzheng Yu and Joshua D Reiss. Effect of spatial sampling approaches on virtual high order ambisonics. In ICSV, 2014. [ bib ]

[54]

Asterios Zacharakis, Konstantinos Pastiadis, and Joshua D Reiss. An interlanguage study of musical timbre semantic dimensions and their acoustic correlates. Music Perception: An Interdisciplinary Journal, 31(4):339--358, 2014. [ bib ]

[55]

McPherson A. Zappi V. Dimensionality and appropriation in digital musical instrument design. In Proceedings of the 14th International Conference on New Interfaces for Musical Expression, 2014. [ bib ]

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