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2019

[1]
R Agrawal and S Dixon. A hybrid approach to audio-to-score alignment. May 2019. [ bib ]
[2]
S Albert, C Heath, S Skach, MT Harris, M Miller, and PGT Healey. Drawing as transcription: how do graphical techniques inform interaction analysis? Social Interaction Video-Based Studies of Human Sociality, 2(1), Mar 2019. [ bib | DOI ]
[3]
A Allik, F Thalmann, C Metzig, and M Sandler. Join my party! how can we enhance social interactions in music streaming? Trondheim, Dec 2019. [ bib ]
[4]
PA Alvarado, MA Alvarez, and D Stowell. Sparse gaussian process audio source separation using spectrum priors in the time-domain. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, volume 2019-May, pages 995--999, Apr 2019. [ bib | DOI ]
[5]
CS Armendariz, M Purver, M Ulčar, S Pollak, N Ljubešić, M Robnik-Šikonja, M Granroth-Wilding, and K Vaik. Cosimlex: A resource for evaluating graded word similarity in context, Dec 2019. [ bib | http ]
[6]
J Armitage and A Mcpherson. Bricolage in a hybrid digital lutherie context: a workshop study. University of Nottingham, ACM, Sep 2019. [ bib | http ]
[7]
V Bauer, A Nagele, C Baume, T Cowlishaw, H Cooke, C Pike, and PGT Healey. Designing an interactive and collaborative experience in audio augmented reality. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 11883 LNCS, pages 305--311, Jan 2019. [ bib | DOI ]
[8]
H Bear, T Heittola, A Mesaros, E Benetos, and T Virtanen. City classification from multiple real-world sound scenes. In http://www.waspaa.com/, pages 11--15. New Paltz, NY, USA, IEEE, Oct 2019. [ bib ]
[9]
H Bear, I Nolasco, and E Benetos. Towards joint sound scene and polyphonic sound event recognition. pages 4594--4598. Graz, Austria, International Speech Communication Association (ISCA), Sep 2019. [ bib | http ]
[10]
E BENETOS, S DIXON, Z Duan, and S EWERT. Automatic music transcription: An overview. IEEE Signal Processing Magazine, 36(1):20--30, Jan 2019. [ bib | DOI | http ]
[11]
G BROMHAM, D Moffat, M Barthet, A Daneilsen, and G Fazekas. The impact of audio effects processing on the perception of brightness and warmth. Nottingham, UK, Sep 2019. [ bib ]
[12]
F Bruford, M Barthet, S McDonald, and M Sandler. Modelling musical similarity for drum patterns: A perceptual evaluation. In ACM International Conference Proceeding Series, pages 131--138, Sep 2019. [ bib | DOI ]
[13]
F Bruford, ST McDonald, M Barthet, and M Sandler. Groove explorer: An intelligent visual interface for drum loop library navigation. In CEUR Workshop Proceedings, volume 2327, Jan 2019. [ bib ]
[14]
M Caetano, C Saitis, and K Siedenburg. Audio content descriptors of timbre. In Timbre: Acoustics, Perception, and Cognition, volume 69, pages 297--333. Jan 2019. [ bib | DOI ]
[15]
DJ Cameron, I Zioga, JP Lindsen, MT Pearce, GA Wiggins, K Potter, and J Bhattacharya. Neural entrainment is associated with subjective groove and complexity for performed but not mechanical musical rhythms. Experimental Brain Research, 237(8):1981--1991, Aug 2019. [ bib | DOI ]
[16]
B Chettri, D Stoller, V Morfi, M Martinez Ramirez, E Benetos, and B Sturm. Ensemble models for spoofing detection in automatic speaker verification. pages 1018--1022. Graz, Austria, International Speech Communication Association (ISCA), Sep 2019. [ bib | http ]
[17]
V Cheung, PMC HARRISON, L Meyer, M Pearce, J-D Haynes, and S Koelsch. Uncertainty and surprise jointly predict musical pleasure and amygdala, hippocampus, and auditory cortex activity. Current Biology, Nov 2019. [ bib | DOI ]
[18]
E Chourdakis, L Ward, M Paradis, and JD Reiss. Modelling experts’ decisions on assigning narrative importances of objects in a radio drama mix. http://dafx2019.bcu.ac.uk/programme/tue/oral-session-3, Sep 2019. Birmigham, UK. [ bib ]
[19]
ET Chourdakis and JD Reiss. Tagging and retrieval of room impulse responses using semantic word vectors and perceptual measures of reverberation. In AES 146th International Convention, Jan 2019. [ bib ]
[20]
L Clark, BR Cowan, J Edwards, J Edlund, E Szekely, C Munteanu, C Murad, P Healey, M Aylett, N Harte, I Torre, RK Moore, and P Doyle. Mapping theoretical and methodological perspectives for understanding speech interface interactions. In Conference on Human Factors in Computing Systems - Proceedings, May 2019. [ bib | DOI ]
[21]
J Colonel and J Reiss. Exploring preference for multitrack mixes using statistical analysis of mir and textual features. In 147th Audio Engineering Society International Convention 2019, Jan 2019. [ bib ]
[22]
E Covas and E Benetos. Optimal neural network feature selection for spatial-temporal forecasting. Chaos, 29(6), Jun 2019. [ bib | DOI | http ]
[23]
J Dai and S Dixon. Intonation trajectories within tones in unaccompanied soprano, alto, tenor, bass quartet singing. J Acoust Soc Am, 146(2):1005--1005, Aug 2019. [ bib | DOI | http ]
[24]
J Dai and S Dixon. Singing together: Pitch accuracy and interaction in unaccompanied unison and duet singing. J Acoust Soc Am, 145(2):663--663, Feb 2019. [ bib | DOI | http ]
[25]
J Dai and S Dixon. Understanding intonation trajectories and patterns of vocal notes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 11296 LNCS, pages 243--253, Jan 2019. [ bib | DOI ]
[26]
R de Fleurian, PMC Harrison, MT Pearce, and DR Quiroga-Martinez. Reward prediction tells us less than expected about musical pleasure. Proc Natl Acad Sci U S A, Sep 2019. [ bib | DOI | http ]
[27]
T Deacon, N Bryan-Kinns, PGT Healey, and M Barthet. Shaping sounds: The role of gesture in collaborative spatial music composition. In C and C 2019 - Proceedings of the 2019 Creativity and Cognition, pages 121--132, Jun 2019. [ bib | DOI ]
[28]
A Delgado, S McDonald, N Xu, and M Sandler. A new dataset for amateur vocal percussion analysis. In ACM International Conference Proceeding Series, pages 17--23, Sep 2019. [ bib | DOI ]
[29]
Emir Demirel, Baris Bozkurt, and Xavier Serra. Automatic chord-scale recognition using harmonic pitch class profiles. In Barbancho I, Tardón LJ, Peinado A, Barbancho AM, editors. Proceedings of the 16th Sound & Music Computing Conference; 2019 May 28-31; Málaga, Spain.[Málaga]: SMC; 2019. Sound & Music Computing Conference, 2019. [ bib | http ]
[30]
M DROOG-HAYES, GA WIGGINS, and MRJ PURVER. Detecting summary-worthy sentences: the effect of discourse features. Newport Beach, CA, Feb 2019. [ bib ]
[31]
F Feng and T Stockman. Augmented visuotactile feedback support sensorimotor synchronization skill for rehabilitation. In Conference on Human Factors in Computing Systems - Proceedings, May 2019. [ bib | DOI ]
[32]
D Foster and JD Reiss. Reproducing bass guitar performances using descriptor driven synthesis. In AES 146th International Convention, Jan 2019. [ bib ]
[33]
K Frieler, D Basaran, F Höger, HC Crayencour, G Peeters, and S Dixon. Don't hide in the frames: Note-and pattern-based evaluation of automated melody extraction algorithms. In ACM International Conference Proceeding Series, pages 25--32, Nov 2019. [ bib | DOI ]
[34]
RP Galindo Esparza, PGT Healey, L Weaver, and M Delbridge. Embodied imagination: An approach to stroke recovery combining participatory performance and interactive technology. In Conference on Human Factors in Computing Systems - Proceedings, May 2019. [ bib | DOI ]
[35]
B Gold, M Pearce, E Mas-Herrero, A Dagher, and RJ Zatorre. Predictability and uncertainty in the pleasure of music: a reward for learning? The Journal of Neuroscience, Oct 2019. [ bib | DOI ]
[36]
J Harrison, A Chamberlain, and AP McPherson. Accessible instruments in the wild. pages 1--6, May 2019. [ bib | DOI ]
[37]
A Hazzard, C Greenhalgh, M Kallionpaa, S Benford, A Veinberg, Z Kanga, and A McPherson. Failing with style: Designing for aesthetic failure in interactive performance. page 30, Jan 2019. [ bib | DOI ]
[38]
S Holland, T Mudd, K Wilkie-McKenna, A McPherson, and MM Wanderley. Understanding music interaction, and why it matters. In New Directions in Music and Human-Computer Interaction, pages 1--20. Jan 2019. [ bib | DOI ]
[39]
A Holzapfel and E Benetos. Automatic music transcription and ethnomusicology: a user study. pages 678--684. Delft, The Netherlands, Nov 2019. [ bib | http ]
[40]
P Kudumakis, T Wilmering, M Sandler, and J Foss. Mpeg ipr ontologies for media trading and personalization. volume 2423. Manchester, UK, Jun 2019. [ bib | .pdf ]
[41]
G LEPRI and A MCPHERSON. Fictional instruments, real values: Discovering musical backgrounds with non-functional prototypes. Jun 2019. [ bib ]
[42]
G LEPRI and A MCPHERSON. Making up instruments: Design fiction for value discovery in communities of musical practice. San Diego California USA, Jun 2019. [ bib | http ]
[43]
S Li, S Dixon, DAA Black, and MD Plumbley. A model selection test for factors affecting the choice of expressive timing clusters for a phrase. In SMC 2016 - 13th Sound and Music Computing Conference, Proceedings, pages 247--252, Jan 2019. [ bib ]
[44]
A Liang, R Stewart, and N Bryan-Kinns. Analysis of sensitivity, linearity, hysteresis, responsiveness, and fatigue of textile knit stretch sensors. Sensors (Switzerland), 19(16), Aug 2019. [ bib | DOI ]
[45]
A Liang, R Stewart, R Freire, and N Bryan-Kinns. Effect of bonding and washing on electronic textile stretch sensor properties. In UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, pages 121--124, Sep 2019. [ bib | DOI ]
[46]
B Liang, G Fazekas, and M Sandler. Piano sustain-pedal detection using convolutional neural networks. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, volume 2019-May, pages 241--245, May 2019. [ bib | DOI ]
[47]
B Liang, G Fazekas, and M Sandler. Transfer learning for piano sustain-pedal detection. In Proceedings of the International Joint Conference on Neural Networks, volume 2019-July, Jul 2019. [ bib | DOI ]
[48]
F Lins, M Johann, E BENETOS, and R Schramm. Automatic transcription of diatonic harmonica recordings. Brighton, UK, IEEE, May 2019. [ bib | DOI | http ]
[49]
L Liu and E Benetos. Automatic music accompaniment with a chroma-based music data representation, Dec 2019. [ bib ]
[50]
M Martinez Ramirez and J Reiss. Modeling nonlinear audio effects with end-to-end deep neural networks. May 2019. [ bib | http ]
[51]
C Martín-Vide, S Pollak, and M Purver. Preface, volume 11816 LNAI. Jan 2019. [ bib ]
[52]
A Matt and D Stowell. Estimating & mitigating the impact of acoustic environments on machine-to-machine signalling. In European Signal Processing Conference, volume 2019-September, Sep 2019. [ bib | DOI ]
[53]
MM McGinity, M Purver, and G Wiggins. The influence of cost on the emergence of a common language among cooperating agents. In 2019 AISB Convention, pages 21--27, Jan 2019. [ bib ]
[54]
SE MCGREGOR, K AGRES, K Rataj, MRJ PURVER, and GA WIGGINS. Re-representing metaphor: Modelling metaphor perception using dynamically contextual distributional semantics. Frontiers in Psychology, Apr 2019. [ bib ]
[55]
A McPherson and S Benford. Music, design and ethnography: An interview with steve benford. In New Directions in Music and Human-Computer Interaction, pages 213--220. Jan 2019. [ bib | DOI ]
[56]
A MCPHERSON, F MORREALE, and J HARRISON. Musical instruments for novices: Comparing nime, hci and crowdfunding approaches. In S Holland, K Wilkie-McKenna, T Mudd, A MCPHERSON, and M Wanderley, editors, New Directions in Music and Human-Computer Interaction. Springer, 2019. [ bib ]
[57]
A McPherson and B Verplank. The poetry of strange connections: An interview with bill verplank. In New Directions in Music and Human-Computer Interaction, pages 61--70. Jan 2019. [ bib | DOI ]
[58]
A Mehrabi, S Dixon, and M Sandler. Erratum: Vocal imitation of percussion sounds: On the perceptual similarity between imitations and imitated sounds (plos one (2019)14:8 (e0221722) doi:10.1371/journal.pone.0219955). PLoS One, 14(8), Aug 2019. [ bib | DOI ]
[59]
A Mehrabi, S Dixon, and M Sandler. Vocal imitation of percussion sounds: On the perceptual similarity between imitations and imitated sounds. PLoS One, 14(7):e0219955--e0219955, Jul 2019. [ bib | DOI | http ]
[60]
L Men and N Bryan-Kinns. Lemo: Exploring virtual space for collaborative creativity. In C and C 2019 - Proceedings of the 2019 Creativity and Cognition, pages 71--82, Jun 2019. [ bib | DOI ]
[61]
L Men, N Bryan-Kinns, and L Bryce. Designing spaces to support collaborative creativity in shared virtual environments. PeerJ Computer Science, 5:1--39, Nov 2019. [ bib | DOI ]
[62]
L Mice and AP Mcpherson. Embodied cognition in performers of large acoustic instruments as a method of designing new large digital musical instruments. In L Mice and AP Mcpherson, editors, 14th International Symposium on Computer Music Multidisciplinary Research, Marseille, France, Oct 2019. Marseille, France. [ bib | http ]
[63]
S MISHRA, D STOLLER, E BENETOS, B STURM, and S DIXON. Gan-based generation and automatic selection of explanations for neural networks. In https://sites.google.com/view/safeml-iclr2019. New Orleans, USA, May 2019. [ bib | http ]
[64]
D Moffat and M Sandler. Approaches in intelligent music production. Arts, 8(4), Sep 2019. [ bib | DOI | http ]
[65]
D Moffat and MB Sandler. An automated approach to the application of reverberation. In 147th Audio Engineering Society International Convention 2019, Jan 2019. [ bib ]
[66]
D Moffat and MB Sandler. Automatic mixing level balancing enhanced through source interference identification. In AES 146th International Convention, Jan 2019. [ bib ]
[67]
D Moffat and MB Sandler. Machine learning multitrack gain mixing of drums. In 147th Audio Engineering Society International Convention 2019, Jan 2019. [ bib ]
[68]
D Moffat, R SELFRIDGE, and J Reiss. Sound effect synthesis. In M Filimowicz, editor, Foundations in Sound Design for Interactive Media: A Multidisciplinary Approach, number 13 in Foundations in Sound Design. Routledge, 1 edition, Jul 2019. [ bib ]
[69]
A Mourgela, T Agus, and JD Reiss. Perceptually motivated hearing loss simulation for audio mixing reference. In 147th Audio Engineering Society International Convention 2019, Jan 2019. [ bib ]
[70]
J Mycroft, JD Reiss, and T Stockman. Visually representing and interpreting multivariate data for audio mixing. In SMC 2016 - 13th Sound and Music Computing Conference, Proceedings, pages 332--337, Jan 2019. [ bib ]
[71]
E Nakamura, R Nishikimi, S Dixon, and K Yoshii. Probabilistic sequential patterns for singing transcription. In 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings, pages 1905--1912, Mar 2019. [ bib | DOI ]
[72]
S Nasreen, M Purver, and J Hough. A corpus study on questions, responses and misunderstanding signals in conversations with alzheimer’s patients. In Proceedings of the 23rd Workshop on the Semantics and Pragmatics of Dialogue - Full Papers. SEMDIAL, Sep 2019. [ bib | .pdf ]
[73]
I Nolasco, A Terenzi, S Cecchi, S Orcioni, H BEAR, and E BENETOS. Audio-based identification of beehive states. Brighton, UK, IEEE, May 2019. [ bib | DOI | http ]
[74]
A Nonnis and N Bryan-Kinns. Mazi: Tangible technologies as a channel for collaborative play. In Conference on Human Factors in Computing Systems - Proceedings, May 2019. [ bib | DOI ]
[75]
A Nonnis and NN Bryan-Kinns. Mazi: a tangible toy for collaborative play between children with autism. In Proceedings of the 18th ACM International Conference on Interaction Design and Children, https://dl.acm.org/citation.cfm?id=3325340, Jun 2019. ACM Press. Best Demo Award. [ bib | DOI ]
[76]
K O'Hanlon and MB Sandler. Comparing cqt and reassignment based chroma features for template-based automatic chord recognition. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, volume 2019-May, pages 860--864, May 2019. [ bib | DOI ]
[77]
D Omigie, M Pearce, K Lehongre, D Hasboun, V Navarro, C Adam, and S Samson. Intracranial recordings and computational modeling of music reveal the time course of prediction error signaling in frontal and temporal cortices. J Cogn Neurosci, 31(6):855--873, Jun 2019. [ bib | DOI | http ]
[78]
A Pankajakshan, H Bear, and E Benetos. Onsets, activity, and events: a multi-task approach for polyphonic sound event modelling. In http://dcase.community/workshop2019/, pages 174--178. New York, USA, Oct 2019. [ bib | http ]
[79]
A Pankajakshan, H Bear, and E Benetos. Polyphonic sound event and sound activity detection: a multi-task approach. In http://www.waspaa.com/, pages 318--322. New Paltz, NY, USA, IEEE, Oct 2019. [ bib | .html ]
[80]
LS Pardue and A McPherson. Real-time aural and visual feedback for improving violin intonation. Front Psychol, 10:627--627, Apr 2019. [ bib | DOI | http ]
[81]
J Pauwels, K O'Hanlon, E Gómez, and M Sandler. 20 years of automatic chord recognition from audio. Delft, Netherlands, Nov 2019. [ bib ]
[82]
J Pauwels and M Sandler. Finding new practice material through chord-based exploration of a large music catalogue. Málaga, Spain, May 2019. [ bib ]
[83]
J Pauwels and MB Sandler. A web-based system for suggesting new practice material to music learners based on chord content. In Joint Proceedings of the ACM IUI 2019 Workshops, volume 2327, Mar 2019. [ bib ]
[84]
M Pearce and S Sauvé. Information-theoretic modeling of perceived musical complexity. Music Perception, Dec 2019. [ bib | DOI ]
[85]
H Phan, F Andreotti, N Cooray, OY Chen, and M De Vos. Seqsleepnet: End-to-end hierarchical recurrent neural network for sequence-to-sequence automatic sleep staging. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(3):400--410, Jan 2019. [ bib | DOI ]
[86]
SSR Phaye, E BENETOS, and Y Wang. Subspectralnet - using sub-spectrogram based convolutional neural networks for acoustic scene classification. Brighton, UK, IEEE, May 2019. [ bib | DOI | http ]
[87]
DR Quiroga-Martinez, N C Hansen, A Højlund, M Pearce, E Brattico, and P Vuust. Musical prediction error responses similarly reduced by predictive uncertainty in musicians and non-musicians. European Journal of Neuroscience, Dec 2019. [ bib | DOI | http ]
[88]
DR Quiroga-Martinez, NC Hansen, A Højlund, MT Pearce, E Brattico, and P Vuust. Reduced prediction error responses in high-as compared to low-uncertainty musical contexts. Cortex, 120:181--200, Jun 2019. [ bib | DOI ]
[89]
A Ragano, E BENETOS, and A Hines. Adapting the quality of experience framework for audio archive evaluation. In https://www.qomex2019.de/. Berlin, Germany, Jun 2019. [ bib ]
[90]
F Rodríguez-Algarra, BL Sturm, and S Dixon. Characterising confounding effects in music classification experiments through interventions. Transactions of the International Society for Music Information Retrieval, 2(1):52--66, Aug 2019. [ bib | DOI ]
[91]
M Rohanian, J Hough, and M Purver. Detecting depression with word-level multimodal fusion. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, volume 2019-September, pages 1443--1447. Graz, Austria, Sep 2019. [ bib | DOI ]
[92]
DM RONAN. Intelligent Subgrouping of Multitrack Audio. PhD thesis, Jan 2019. [ bib ]
[93]
C Saitis and S Weinzierl. The semantics of timbre. In Timbre: Acoustics, Perception, and Cognition, volume 69, pages 119--149. Jan 2019. [ bib | DOI ]
[94]
M Sandler, D De Roure, S Benford, and K Page. Semantic web technology for new experiences throughout the music production-consumption chain. In Proceedings - 2019 International Workshop on Multilayer Music Representation and Processing, MMRP 2019, pages 49--55, Mar 2019. [ bib | DOI ]
[95]
D Senvaityte, J Pauwels, and M Sandler. Guitar string separation using non-negative matrix factorization and factor deconvolution. Sep 2019. [ bib | DOI ]
[96]
D Sheng and G Fazekas. A feature learning siamese model for intelligent control of the dynamic range compressor. In Proceedings of the International Joint Conference on Neural Networks, volume 2019-July, Jul 2019. [ bib | DOI ]
[97]
R SHUKLA, IT Radu, M SANDLER, and R STEWART. Real-time binaural rendering with virtual vector base amplitude panning. New York, Mar 2019. York, United Kingdom, Audio Engineering Society. [ bib | http ]
[98]
K Siedenburg, C Saitis, and S McAdams. The present, past, and future of timbre research. In Timbre: Acoustics, Perception, and Cognition, volume 69, pages 1--19. Jan 2019. [ bib | DOI ]
[99]
S Singh, A Pankajakshan, and E Benetos. Audio tagging using a linear noise modelling layer. In http://dcase.community/workshop2019/, pages 234--238. New York, USA, Oct 2019. [ bib | http ]
[100]
AS Stolfi, A Milo, and M Barthet. Playsound.space: Improvising in the browser with semantic sound objects. Journal of New Music Research, 48(4):366--384, Sep 2019. [ bib | DOI ]
[101]
D Stowell. State of the art in computational bioacoustics and machine learning: How far have we come? In Biodiversity Information Science and Standards, volume 3, page e37227, Jun 2019. [ bib | DOI ]
[102]
D Stowell, T Petrusková, M Šálek, and P Linhart. Automatic acoustic identification of individual animals: Improving generalisation across species and recording conditions. Journal of the Royal Society Interface, 16(153), Apr 2019. [ bib | DOI | http ]
[103]
V SUBRAMANIAN, E Benetos, and M Sandler. Robustness of adversarial attacks in sound event classification. In http://dcase.community/workshop2019/, pages 239--243. New York, USA, Oct 2019. [ bib | http ]
[104]
A Supej, M Plahuta, M Purver, M Mathioudakis, and S Pollak. Gender, language and society - word embeddings as a reflection of social inequalities in linguistic corpora. pages 75--83, Ljubljana, Slovenia, Dec 2019. Bled, Slovenia, Slovensko sociološko društvo. [ bib | .pdf ]
[105]
P Sánchez and JD Reiss. Real-time synthesis of sound effects caused by the interaction between two solids. In AES 146th International Convention, Jan 2019. [ bib ]
[106]
F Thalmann, A Allik, C Metzig, and M Sandler. moodplay.github.io: an online collaborative music player. Trondheim, Dec 2019. [ bib ]
[107]
F Thalmann, G Wiggins, and M Sandler. Representing modifiable and reusable musical content on the web with constrained multi-hierarchical structures. IEEE Transactions on Multimedia, Dec 2019. [ bib | DOI ]
[108]
F Thalmann, T WILMERING, and M Sandler. Query-based mashups of historical live music recordings. Aug 2019. [ bib ]
[109]
L Theodorou, PGT Healey, and F Smeraldi. Engaging with contemporary dance: What can body movements tell us about audience responses? Front Psychol, 10:71--71, Feb 2019. [ bib | DOI | http ]
[110]
A Thompson and G Fazekas. A model-view-update framework for interactive web audio applications. In ACM International Conference Proceeding Series, pages 219--222, Sep 2019. [ bib | DOI ]
[111]
A Tom, J Reiss, and P Depalle. An automatic mixing system for multitrack spatialization for stereo based on unmasking and best panning practices. In AES 146th International Convention, Jan 2019. [ bib ]
[112]
L Turchet and M Barthet. Haptification of performer's control gestures in live electronic music performance. In ACM International Conference Proceeding Series, pages 244--247, Sep 2019. [ bib | DOI ]
[113]
L Turchet and M Barthet. An ubiquitous smart guitar system for collaborative musical practice. Journal of New Music Research, 48(4):352--365, Jul 2019. [ bib | DOI ]
[114]
C Vianna Lordelo, E Benetos, S Dixon, and S Ahlbäck. Investigating kernel shapes and skip connections for deep learning-based harmonic-percussive separation. In http://www.waspaa.com/, pages 40--44. New Paltz, NY, USA, IEEE, Oct 2019. [ bib | .html ]
[115]
C Wang, E Benetos, and E Chew. Cbf-peridb: A chinese bamboo flute dataset for periodic modulation analysis. Delft, The Netherlands, Nov 2019. [ bib ]
[116]
C Wang, E Benetos, V Lostanlen, and E Chew. Adaptive time–frequency scattering for periodic modulation recognition in music signals. pages 809--815. Delft, The Netherlands, Nov 2019. [ bib ]
[117]
C WANG, E BENETOS, X MENG, and E CHEW. Hmm-based glissando detection for recordings of chinese bamboo flute. In Proceedings of Sound and Music Computing Conference, pages 545--550. Malaga, Spain, May 2019. [ bib ]
[118]
J Weaver, M Barthet, and E Chew. Filling the space: The impact of convolution reverberation time on note duration and velocity in duet performance. In 147th Audio Engineering Society International Convention 2019, Jan 2019. [ bib ]
[119]
C Weiß, M Mauch, S Dixon, and M Müller. Investigating style evolution of western classical music: A computational approach. Musicae Scientiae, 23(4):486--507, Dec 2019. [ bib | DOI ]
[120]
WJ Wilkinson, MR Andersen, JD Reiss, D Stowell, and A Solin. End-to-end probabilistic inference for nonstationary audio analysis. In 36th International Conference on Machine Learning, ICML 2019, volume 2019-June, pages 11751--11760, Jan 2019. [ bib ]
[121]
WJ Wilkinson, M Riis Andersen, JD Reiss, D Stowell, and A Solin. Unifying probabilistic models for time-frequency analysis. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, volume 2019-May, pages 3352--3356, Apr 2019. [ bib | DOI ]
[122]
T Wilmering, F Thalmann, and MB Sandler. Alignment and timeline construction for incomplete analogue audience recordings of historical live music concerts. In 147th Audio Engineering Society International Convention 2019, Oct 2019. [ bib ]
[123]
A Xambó, F Font, G Fazekas, and M Barthet. Leveraging online audio commons content for media production. In Foundations in Sound Design for Linear Media, pages 248--282. Jun 2019. [ bib | DOI ]
[124]
P Xiao, H Toivonen, O Gross, A Cardoso, J Correia, P Machado, P Martins, HG Oliveira, R Sharma, AM Pinto, A Díaz, V Francisco, P Gervás, R Hervás, C León, J Forth, M Purver, GA Wiggins, D Miljkovic, V Podpecan, S Pollak, J Kralj, M Znidarsic, M Bohanec, N Lavrac, T Urbancic, FVD Velde, and SA Battersby. Conceptual representations for computational concept creation. ACM Computing Surveys, 52(1):9:1--9:33, Feb 2019. [ bib | DOI | .pdf ]
[125]
A Ycart, A McLeod, E Benetos, and K Yoshii. Blending acoustic and language model predictions for automatic music transcription. pages 454--461. Delft, The Netherlands, Nov 2019. [ bib | http ]
[126]
A Ycart, D Stoller, and E Benetos. A comparative study of neural models for polyphonic music sequence transduction. pages 470--477. Delft, The Netherlands, Nov 2019. [ bib | http ]
[127]
DF Yela, D Stowell, and M Sandler. Spectral visibility graphs: Application to similarity of harmonic signals. In European Signal Processing Conference, volume 2019-September, Sep 2019. [ bib | DOI ]
[128]
L Zhang and PGT Healey. Co-ordination of head nods: Asymmetries between speakers and listeners. Sep 2019. [ bib ]
[129]
Q Zhou, Z Feng, and E Benetos. Adaptive noise reduction for sound event detection using subband-weighted nmf. Sensors, 19(14), Jul 2019. [ bib | DOI | http ]
[130]
I Zioga, P Harrison, M Pearce, J Bhattacharya, and C Di Bernardi Luft. From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. NeuroImage, Oct 2019. [ bib | DOI ]
[131]
J Zúñiga and JD Reiss. Realistic procedural sound synthesis of bird song using particle swarm optimisation. In 147th Audio Engineering Society International Convention 2019, Jan 2019. [ bib ]

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