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2015

[1]
S Abdallah, A Alencar-Brayner, E BENETOS, S Cottrell, J Dykes, N Gold, A Kachkaev, M Mahey, D Tidhar, A Tovell, T Weyde, and D Wolff. Automatic transcription and pitch analysis of the british library world & traditional music collection. In http://fma2015.sciencesconf.org/conference/fma2015/FMA2015_OfficialProceedings.pdf, pages 10--12. Paris, France, Association Dirac, Jun 2015. [ bib ]
[2]
K Agres, S McGregor, M Purver, and G Wiggins. Conceptualizing creativity: From distributional semantics to conceptual spaces. In Proceedings of the 6th International Conference on Computational Creativity (ICCC), pages 118--125, Park City, UT, Jun 2015. [ bib | .pdf ]
[3]
M Balliauw, D Herremans, DP Cuervo, and K Sörensen. Generating fingerings for polyphonic piano music with a tabu search algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 9110, pages 149--160, Jan 2015. [ bib | DOI ]
[4]
M Balliauw, D Herremans, D Palhazi cuervo, and K Sörensen. A variable neighborhood search algorithm to generate piano fingerings for polyphonic sheet music. International Transactions in Operational Research, Jan 2015. [ bib | DOI ]
[5]
E Benetos and A Holzapfel. Automatic transcription of turkish microtonal music. Journal of the Acoustical Society of America, 138:2118--2130, Oct 2015. [ bib | DOI ]
[6]
E Benetos and T Weyde. An efficient temporally-constrained probabilistic model for multiple-instrument music transcription. In M Muller and F Wiering, editors, ISMIR, pages 701--707, 2015. [ bib | .html ]
[7]
B Bengler and N Bryan-Kinns. "i could play here for hours.." (thinks the visitor and leaves): Why people disengage from public interactives. In T Maver and EY-L Do, editors, Creativity & Cognition, pages 177--180. ACM, 2015. [ bib | DOI | http ]
[8]
D Carey, S Rosen, S Krishnan, MT Pearce, A Shepherd, J Aydelott, and F Dick. Generality and specificity in the effects of musical expertise on perception and cognition. Cognition, 137:81--105, Apr 2015. [ bib | DOI ]
[9]
T Cheng, S Dixon, and M Mauch. Modelling the decay of piano sounds. In IEEE International Conference on Acoustics Speech and Signal Processing, pages 594--598, 2015. [ bib ]
[10]
S Concannon, P Healey, and M Purver. Shifting opinions: Experiments on agreement and disagreement in dialogue. In Proceedings of the 19th SemDial Workshop on the Semantics and Pragmatics of Dialogue (goDIAL), pages 15--23, Gothenburg, Aug 2015. Gothenberg, Sweden. [ bib | .pdf ]
[11]
S Concannon, PGT Healey, and M Purver. Taking a stance: a corpus study of reported speech. In Proceedings of the 19th SemDial Workshop on the Semantics and Pragmatics of Dialogue (goDIAL), pages 6--14, Gothenburg, Aug 2015. Gothenburg, Sweden. [ bib | .pdf ]
[12]
J Dai, M Mauch, and S Dixon. Analysis of intonation trajectories in solo singing. In 16th International Society for Music Information Retrieval Conference, pages 420--426, 2015. [ bib ]
[13]
B De Man, M Boerum, B Leonard, R King, G Massenburg, and JD Reiss. Perceptual evaluation of music mixing practices. In 138th Audio Engineering Society Convention 2015, volume 1, pages 129--136, Jan 2015. [ bib ]
[14]
L Donovan and A MCPHERSON. Active control of a string instrument bridge using the posicast technique. Warsaw, Poland, 2015. [ bib ]
[15]
G Durr, L Peixoto, M Souza, R Tanoue, and JD Reiss. Implementation and evaluation of dynamic level of audio detail. 2015. [ bib ]
[16]
A Eshghi, C Howes, E Gregoromichelaki, J Hough, and M Purver. Feedback in conversation as incremental semantic update. In Proceedings of the 11th International Conference on Computational Semantics, pages 261--271, London, UK, Apr 2015. Association for Computational Linguistics. [ bib | http ]
[17]
S Ewert, MD Plumbley, M Sandler, and IEEE. A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments. In 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), pages 569--573, 2015. [ bib | http ]
[18]
P Foster, S Dixon, and A Klapuri. Identifying cover songs using information-theoretic measures of similarity. IEEE Transactions on Audio, Speech and Language Processing, 23:993--1005, Jun 2015. [ bib | DOI ]
[19]
J FREEMAN, M SANDLER, G WIGGINS, and G STARKS. A concise taxonomy for describing data as an art material. In Proceedings of the IEEE VIS Arts Program (VISAP), pages 22--29. Chicago, Illinois, IEEE, Oct 2015. [ bib | http ]
[20]
SS Griffiths, MM McGinity, J Forth, M Purver, and GA Wiggins. Information-theoretic segmentation of natural language. In CEUR Workshop Proceedings, volume 1510, pages 54--67, Jan 2015. [ bib ]
[21]
S Hafezi and JD Reiss. Autonomous multitrack equalization based on masking reduction. JOURNAL OF THE AUDIO ENGINEERING SOCIETY, 63:312--323, May 2015. [ bib | http ]
[22]
D Herremans. Compose compute. 4OR, 13:335--336, September 2015. [ bib | DOI ]
[23]
D Herremans, K Sörensen, and D Martens. Classification and generation of composer-specific music using global feature models and variable neighborhood search. Computer Music Journal, 39:71--91, Jan 2015. [ bib | DOI ]
[24]
D Herremans, S Weisser, K Sörensen, and D Conklin. Generating structured music for bagana using quality metrics based on markov models. Expert Systems with Applications, 42:7424--7435, Jun 2015. [ bib | DOI ]
[25]
TK Hon, L Wang, JD Reiss, and A Cavallaro. Audio fingerprinting for multi-device self-localization. IEEE Transactions on Audio, Speech and Language Processing, 23:1623--1636, Oct 2015. [ bib | DOI ]
[26]
TK Hon, L Wang, JD Reiss, and A Cavallaro. Fine landmark-based synchronization of ad-hoc microphone arrays. pages 1341--1345, 2015. [ bib ]
[27]
RH Jack, A MCPHERSON, and T Stockman. The design of tactile musical devices for the deaf. Sheffield, UK, 2015. [ bib ]
[28]
Nicholas Jillings, Brecht De Man, David Moffat, and Joshua D. Reiss. Web audio evaluation tool: A browser-based listening test environment. In 12th Sound and Music Computing Conference, 2015. [ bib | .pdf ]
[29]
K Katevas, PGT Healey, and MT Harris. Robot comedy lab: experimenting with the social dynamics of live performance. FRONTIERS IN PSYCHOLOGY, 6(ARTN 1253), Aug 2015. [ bib | DOI | http ]
[30]
R Kempson, R Cann, A Eshghi, E Gregoromichelaki, and M Purver. Ellipsis. In S Lappin and C Fox, editors, Handbook of Contemporary Semantic Theory, number 4. Wiley, 2nd edition, Sep 2015. [ bib | .html ]
[31]
C Kereliuk, BL Sturm, and J Larsen. Deep learning and music adversaries. IEEE Transactions on Multimedia, 17:2059--2071, Nov 2015. [ bib | DOI ]
[32]
Z Ma, B De Man, PDL Pestana, DAA Black, and JD Reiss. Intelligent multitrack dynamic range compression. AES: Journal of the Audio Engineering Society, 63:412--426, Jan 2015. [ bib | DOI ]
[33]
J MacRitchie and AP McPherson. Integrating optical finger motion tracking with surface touch events. Frontiers in Psychology, 6, Jun 2015. [ bib | DOI ]
[34]
BD Man and JD Reiss. Analysis of peer reviews in music production. Journal on the Art of Record Production, 10, 2015. [ bib ]
[35]
A Mason, N Jillings, Z Ma, JD Reiss, and F Melchior. Adaptive audio reproduction using personalised compression. In Proceedings of the AES International Conference, volume 2015-January, Jan 2015. [ bib ]
[36]
M Mauch, C Cannam, R Bittner, G Fazekas, J Salamon, J Dai, J Bello, and S Dixon. Computer-aided melody note transcription using the tony software: Accuracy and efficiency. In First International Conference on Technologies for Music Notation and Representation (TENOR 2015), pages 23--30, 2015. [ bib ]
[37]
A Mazzoni and N Bryan-Kinns. How does it feel like? an exploratory study of a prototype system to convey emotion through haptic wearable devices. ICST Trans. e-Education e-Learning, 2(8):e2--e2, 2015. [ bib | DOI ]
[38]
A Mazzoni and N Bryan-Kinns. How does it feel like? an exploratory study of a prototype system to convey emotion through haptic wearable devices. In Proceedings of the 2015 7th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2015, pages 64--68, Nov 2015. [ bib | DOI ]
[39]
S McDonald, DS Kirk, and N Bryan-Kinns. Nature bot: Experiencing nature in the built environment. In T Maver and EY-L Do, editors, Creativity & Cognition, pages 173--176. ACM, 2015. [ bib | DOI | http ]
[40]
S McGregor, K Agres, M Purver, and GA Wiggins. From distributional semantics to conceptual spaces: A novel computational method for concept creation. J. Artificial General Intelligence, 6(1):55--86, 2015. [ bib ]
[41]
S McGregor, M Purver, and G Wiggins. An emergent model of metaphors as transformations of vector spaces. In Proceedings of the 13th International Cognitive Linguistics Conference (ICLC), Newcastle-upon-Tyne, Jul 2015. [ bib | .pdf ]
[42]
S McGregor, M Purver, and G Wiggins. Metaphor, meaning, computers and consciousness. In AISB Convention 2015, Jan 2015. [ bib ]
[43]
A McPherson. Buttons, handles, and keys: Advances in continuous-control keyboard instruments. COMPUTER MUSIC JOURNAL, 39:28--46, 2015. [ bib | DOI | http ]
[44]
A McPherson and V Zappi. An environment for submillisecond-latency audio and sensor processing on beaglebone black. Warsaw, Poland, 2015. [ bib ]
[45]
DWH Menzies and A MCPHERSON. Highland piping ornament recognition using dynamic time warping. Baton Rouge, USA, 2015. [ bib ]
[46]
O Metatla, N Bryan-Kinns, T Stockman, and F Martin. Designing with and for people living with visual impairments: audio-tactile mock-ups, audio diaries and participatory prototyping. CoDesign, 11:35--48, Jan 2015. [ bib | DOI ]
[47]
O Metatla, N Bryan-Kinns, T Stockman, and F Martin. Sonification of reference markers for auditory graphs: Effects on non-visual point estimation tasks. PeerJ PrePrints, 3:e1376--e1376, 2015. [ bib | DOI ]
[48]
David Moffat, David Ronan, and Joshua D. Reiss. An evaluation of audio feature extraction toolboxes (honorable mention for best paper). In 18th International Conference on Digital Audio Effects (DAFx-15), 2015. [ bib ]
[49]
E Morgan, H Gunes, and N Bryan-Kinns. The luminus: Providing musicians with visual feedback on the gaze and body motion of their co-performers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 9297, pages 47--54, Jan 2015. [ bib | DOI ]
[50]
E Morgan, H Gunes, and N Bryan-Kinns. Using affective and behavioural sensors to explore aspects of collaborative music making. International Journal of Human Computer Studies, 82:31--47, May 2015. [ bib | DOI ]
[51]
J Mycroft, JD Reiss, and T Stockman. Audio mixing displays; the influence of overviews on information search and critical listening. 2015. [ bib ]
[52]
J Mycroft, JD Reiss, and T Stockman. The effect of differing user interface presentation styles on audio mixing. 2015. [ bib ]
[53]
D Mylonas, M Purver, M Sadrzadeh, L MacDonald, and L Griffin. The use of english colour terms in big data. In Proceedings of the 2015 Meeting of the International Colour Association (AIC), Tokyo, May 2015. [ bib | .pdf ]
[54]
J Osmalskyj, P Foster, S Dixon, and J-J Embrechts. Combining features for cover song identification. In 16th International Society for Music Information Retrieval Conference, pages 462--468, 2015. [ bib ]
[55]
LS Pardue, C Harte, and AP McPherson. A low-cost real-time tracking system for violin. JOURNAL OF NEW MUSIC RESEARCH, 44:305--323, Oct 2015. [ bib | DOI | http ]
[56]
MT Pearce and AR Halpern. Age-related patterns in emotions evoked by music. PSYCHOLOGY OF AESTHETICS CREATIVITY AND THE ARTS, 9:248--253, Aug 2015. [ bib | DOI | http ]
[57]
P Pestana, JD Reiss, and A Barbosa. Cross-adaptive polarity switching strategies for optimization of audio mixes. 2015. [ bib ]
[58]
M Purver and M Sadrzadeh. From distributional semantics to distributional pragmatics? In Proceedings of the IWCS 2015 Workshop on Interactive Meaning Construction, pages 21--22, London, UK, Apr 2015. [ bib | .pdf ]
[59]
A. Robertson and M. D. Plumbley. Event-based multitrack alignment using a probabilistic framework. Journal of New Music Research, 44(2):71--82, 2015. [ bib | DOI ]
[60]
M Rohrmeier, W Zuidema, GA Wiggins, and C Scharff. Principles of structure building in music, language and animal song. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 370(UNSP 20140097):107--121, Mar 2015. [ bib | DOI | http ]
[61]
David Ronan, D Moffat, H Gunes, and Joshua D. Reiss. Automatic subgrouping of multitrack audio. In 18th Int. Conference on Digital Audio Effects (DAFx-15), 2015. [ bib ]
[62]
DM Ronan, B DeMan, H Gunes, and JD Reiss. The impact of subgrouping practices on the perception of multitrack mixes. 2015. [ bib ]
[63]
M Rossignol, M Lagrange, G Lafay, and E Benetos. Alternate level clustering for drum transcription. In EUSIPCO, pages 2023--2027. IEEE, 2015. [ bib | DOI | http ]
[64]
P Saari, G Fazekas, T Eerola, M Barthet, O Lartillot, and M Sandler. Genre-adaptive semantic computing and audio-based modelling for music mood annotation. IEEE Transactions on Affective Computing, pages 1--1, 2015. [ bib | DOI ]
[65]
M Sadrzadeh and M Purver. Geometry of meaning from words to dialogue acts. In Proceedings of the IWCS 2015 Workshop on Advances in Distributional Semantics, London, UK, April 2015. [ bib | .pdf ]
[66]
S Sigtia, E Benetos, N Boulanger-Lewandowski, T Weyde, AS D'Avila Garcez, and S Dixon. A hybrid recurrent neural network for music transcription. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, volume 2015-August, pages 2061--2065, Jan 2015. [ bib | DOI ]
[67]
S Sigtia, E Benetos, N Boulanger-Lewandowski, T Weyde, ASDA Garcez, and S Dixon. A hybrid recurrent neural network for music transcription. In IEEE International Conference on Acoustics Speech and Signal Processing, pages 2061--2065. Brisbane, Australia, IEEE, Apr 2015. [ bib | DOI | http ]
[68]
S Sigtia, N Boulanger-Lewandowski, and S Dixon. Audio chord recognition with a hybrid recurrent neural network. In M Muller and F Wiering, editors, ISMIR, pages 127--133, 2015. [ bib | .html ]
[69]
Y Song and S Dixon. How well can a music emotion recognition system predict the emotional responses of participants? In 12th International Conference on Sound and Music Computing, pages 387--392, 2015. [ bib ]
[70]
D. Stowell and D. Clayton. Acoustic event detection for multiple overlapping similar sources. In Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015 IEEE Workshop on, 2015. [ bib | http ]
[71]
D. Stowell, D. Giannoulis, E. Benetos, M. Lagrange, and M. D. Plumbley. Detection and classification of acoustic scenes and events. IEEE Transactions on Multimedia, 17(10):1733--1746, October 2015. [ bib | DOI ]
[72]
Sturm, C Kereliuk, and J Larsen. Deep learning, audio adversaries, and music content analysis. Mohonk, NY, 2015. [ bib ]
[73]
Sturm, C Kereliuk, and J Larsen. El caballo viejo? latin genre recognition with deep learning and spectral periodicity. QMUL, 2015. [ bib | DOI | http ]
[74]
BLT Sturm, H Maruri-Aguilar, B Parker, and H Grossmann. The scientific evaluation of music content analysis systems: Valid empirical foundations for future real-world impact. Lille, France, 2015. [ bib ]
[75]
K Sylwester and M Purver. Twitter language use reflects psychological differences between democrats and republicans. PLOS ONE, 10:e0137422--e0137422, Sep 2015. [ bib | DOI ]
[76]
M Tian, G Fazekas, DAA Black, and M Sandler. On the use of the tempogram to describe audio content and its application to music structural segmentation. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, volume 2015-August, pages 419--423, Jan 2015. [ bib | DOI ]
[77]
R Tubb and S Dixon. An evaluation of multidimensional controllers for sound design tasks. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2015. [ bib ]
[78]
S Wang, S Ewert, and S Dixon. Compensating for asynchronies between musical voices in score-performance alignment. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, volume 2015-August, pages 589--593, Jan 2015. [ bib | DOI ]
[79]
GA Wiggins and JC Forth. Idyot: A computational theory of creativity as everyday reasoning from learned information. In TR Besold, M Schorlemmer, and A Smaill, editors, Computational Creativity Research: Towards Creative Machines, number 7 in Atlantis Thinking Machines, pages 127--148. Atlantis Press, 2015. [ bib | DOI | http ]
[80]
GA Wiggins, P Tyack, C Scharff, and M Rohrmeier. The evolutionary roots of creativity: mechanisms and motivations. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 370(ARTN 20140099):129--137, Mar 2015. [ bib | DOI | http ]
[81]
T Wilmering, S Bechhofer, S Dixon, G Fazekas, and K Page. Automating annotation of media with linked data workflows. In Third International Workshop on Linked Media (LiME 2015), Proceedings of the 24th International Conference on World Wide Web Companion, pages 737--738, 2015. [ bib ]
[82]
Z Yuan and M Purver. Predicting emotion labels for chinese microblog texts. volume 602, pages 129--149. Jan 2015. [ bib | DOI ]
[83]
A Zacharakis, K Pastiadis, and JD Reiss. An interlanguage unification of musical timbre: Bridging semantic, perceptual, and acoustic dimensions. Music Perception, 32:394--412, Jan 2015. [ bib | DOI ]
[84]
V Zappi and A MCPHERSON. Exposing the scaffolding of digital instruments with hardware-software feedback loops. Baton Rouge, USA, 2015. [ bib ]

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