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2021

[1]
R Agrawal, D Wolff, and S Dixon. Structure-aware audio-to-score alignment using progressively dilated convolutional neural networks. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, Jun 2021. [ bib | DOI ]
[2]
H Bear, V Morfi, and E Benetos. An evaluation of data augmentation methods for sound scene geotagging. In 22nd Annual Conference of the International Speech Communication Association (INTERSPEECH), pages 581-585. Brno, Czech Republic, International Speech and Communication Association (ISCA), Aug 2021. [ bib | DOI | http ]
[3]
A Benito Temprano and AP Mcpherson. A tmr angle sensor for gesture acquisition and disambiguation on the electric guitar. In Audio Mostly 2021 (AM'21). Sonic experiences in the era of the Internet of Sounds. University of Trento (Italy) [Online], Sep 2021. [ bib ]
[4]
RPP Bodo, E Benetos, and M Queiroz. A framework for music similarity and cover song identification. In 15th International Symposium on Computer Music Multidisciplinary Research (CMMR). Tokyo, Japan, Nov 2021. [ bib | http ]
[5]
KW Cheuk, Y-J Luo, E Benetos, and D Herremans. Revisiting the onsets and frames model with additive attention. In International Joint Conference on Neural Networks (IJCNN). IEEE, Jul 2021. [ bib | DOI | http ]
[6]
A Clemente, MT Pearce, and M Nadal. Musical aesthetic sensitivity. Psychology of Aesthetics Creativity and the Arts, Mar 2021. [ bib | DOI ]
[7]
A Clemente, MT Pearce, M Skov, and M Nadal. Evaluative judgment across domains: Liking balance, contour, symmetry and complexity in melodies and visual designs. Brain and Cognition, 151, Jul 2021. [ bib | DOI ]
[8]
JT Colonel and J Reiss. Reverse engineering of a recording mix with differentiable digital signal processing. Journal of the Acoustical Society of America, 150(1):608-619, Jul 2021. [ bib | DOI ]
[9]
A Daniele, C Di Bernardi Luft, and N Bryan-Kinns. “what is human?” a turing test for artistic creativity. volume 12693 LNCS, pages 396-411. Jan 2021. [ bib | DOI ]
[10]
R de Fleurian and MT Pearce. The relationship between valence and chills in music: A corpus analysis. i-Perception, 12(4):1-11, Jul 2021. [ bib | DOI ]
[11]
J Del-Bosque-Trevino, M Purver, and J HOUGH. Investigating the semantic wave in tutorial dialogues: An annotation scheme and corpus study on analogy components. In 24th Workshop on the Semantics and Pragmatics of Dialogue (SemDial). Brandeis University, Waltham, MA, USA. [ bib ]
[12]
E Demirel, S Ahlbäck, and S Dixon. Low resource audio-to-lyrics alignment from polyphonic music recordings. volume 00, pages 586-590, Jun 2021. [ bib | DOI ]
[13]
Y Fang, J Ou, N Bryan-Kinns, Q Kang, J Zhang, and B Guo. Using vibrotactile device in music therapy to support wellbeing for people with alzheimer’s disease. volume 261, pages 353-361. Jan 2021. [ bib | DOI ]
[14]
C Ford, N Bryan-Kinns, and C Nash. Creativity in children's digital music composition. In R Dannenberg and X Xiao, editors, New Instruments for Music Expression. NYU Shanghai, Shanghai., https://nime.pubpub.org/pub/ker5w948/release/1, Jun 2021. [ bib ]
[15]
L Gabrielli, G Fazekas, and J Nam. Special issue on deep learning for applications in acoustics: Modeling, synthesis, and listening. Applied Sciences (Switzerland), 11(2):1-4, Jan 2021. [ bib | DOI ]
[16]
Y Gan, X Chen, Q Huang, M Purver, JR Woodward, J Xie, and P Huang. Towards robustness of text-to-sql models against synonym substitution. pages 2505-2515. Association for Computational Linguistics, 2021. [ bib | http ]
[17]
M Graf, HC Opara, and M Barthet. An audio-driven system for real-time music visualisation. In Audio Engineering Society Convention 150, Jun 2021. [ bib | http ]
[18]
ETR Hall and MT Pearce. A model of large-scale thematic structure. Journal of New Music Research, 50(3):220-241, May 2021. [ bib | DOI ]
[19]
NC Hansen, H Kragness, P Vuust, L Trainor, and M Pearce. Predictive uncertainty underlies auditory-boundary perception. Psychological Science. [ bib ]
[20]
PMC Harrison, R Bianco, M Chait, and MT Pearce. Erratum: Ppm-decay: A computational model of auditory prediction with memory decay (plos comput biol (2021) 16: 11 (e1008304) doi: 10.1371/journal.pcbi.1008304). PLoS Computational Biology, 17(5), May 2021. [ bib | DOI ]
[21]
B Hayes, C Saitis, and G Fazekas. Neural waveshaping synthesis. In Proceedings of the 22nd International Society for Music Information Retrieval. Online. [ bib | http ]
[22]
PGT Healey. Human-like communication. pages 137-151. Jul 2021. [ bib | DOI ]
[23]
A Holzapfel, E Benetos, A Killick, and R Widdess. Humanities and engineering perspectives on music transcription. Digital Scholarship in the Humanities. [ bib | http ]
[24]
C Jing, N Bryan-Kinns, S Yang, J Zhi, and J Zhang. The influence of mobile phone location and screen orientation on driving safety and the usability of car-sharing software in-car use. International Journal of Industrial Ergonomics, 84, Jul 2021. [ bib | DOI ]
[25]
M Karan, P Khare, P Healey, and M Purver. Mitigating topic bias when detecting decisions in dialogue. In SIGDIAL: 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, Jul 2021. [ bib | .pdf ]
[26]
T Kirby and M Sandler. The evolution of drum modes with strike intensity: Analysis and synthesis using the discrete cosine transform. J Acoust Soc Am, 150(1):202, Jul 2021. [ bib | DOI | http ]
[27]
S Krishnan, D Carey, F Dick, and MT Pearce. Effects of statistical learning in passive and active contexts on reproduction and recognition of auditory sequences. Journal of Experimental Psychology: General. [ bib | DOI ]
[28]
MN Lefford, G Bromham, G Fazekas, and D Moffat. Context-aware intelligent mixing systems. AES: Journal of the Audio Engineering Society, 69(3):128-141, Mar 2021. [ bib | DOI ]
[29]
S Li, Y Jing, and G Fazekas. A novel dataset for the identification of computer generated melodies in the csmt challenge. volume 761 LNEE, pages 177-186. Jan 2021. [ bib | DOI ]
[30]
A Liang, R Stewart, R Freire, and N Bryan-Kinns. Knit stretch sensor placement for body movement sensing. Feb 2021. [ bib | DOI ]
[31]
L Liu and E Benetos. From audio to music notation. Number 24 in Artificial Intelligence, pages 693-714. Springer International Publishing, Cham, Switzerland, 1st edition, Aug 2021. [ bib | DOI | http ]
[32]
L Liu, G-V Morfi, and E Benetos. Joint multi-pitch detection and score transcription for polyphonic piano music. In IEEE International Conference on Acoustics, Speech and Signal Processing. Toronto, Canada, IEEE, Jun 2021. [ bib | DOI | http ]
[33]
S Löbbers, M Barthet, and G Fazekas. Sketching sounds: an exploratory study on sound-shape associations. In International Computer Music Conference. Santiago de Chile, Chile. [ bib ]
[34]
I Manco, E Benetos, E Quinton, and G Fazekas. Muscaps: generating captions for music audio. In International Joint Conference on Neural Networks (IJCNN). IEEE, Jul 2021. [ bib | DOI | http ]
[35]
J Miller, V Nicosia, and M Sandler. Discovering common practice: Using graph theory to compare harmonic sequences in musical audio collections. pages 93-97, Jul 2021. [ bib | DOI ]
[36]
V Morfi, RF Lachlan, and D Stowell. Deep perceptual embeddings for unlabelled animal sound events. Journal of the Acoustical Society of America, 150(1):2-11, Jul 2021. [ bib | DOI ]
[37]
G Moro and AP McPherson. Performer experience on a continuous keyboard instrument. Computer Music Journal, 44(2-3):69-91, Jul 2021. [ bib | DOI ]
[38]
AN Nagele, V Bauer, PGT Healey, JD Reiss, H Cooke, T Cowlishaw, C Baume, and C Pike. Interactive audio augmented reality in participatory performance. Frontiers in Virtual Reality, 1:610320, Feb 2021. [ bib | DOI ]
[39]
S Nasreen, J HOUGH, and M Purver. Rare-class dialogue act tagging for alzheimer's disease diagnosis. In SIGDIAL: 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, Jul 2021. [ bib | .pdf ]
[40]
S Nasreen, M Rohanian, J Hough, and M Purver. Alzheimer’s dementia recognition from spontaneous speech using disfluency and interactional features. Frontiers in Computer Science, 3:640669-640669, Jun 2021. [ bib | DOI ]
[41]
A Nonnis and N Bryan-Kinns. Olly: A tangible for togetherness. International Journal of Human Computer Studies, 153, Apr 2021. [ bib | DOI | http ]
[42]
K O'Hanlon, E Benetos, and S Dixon. Detecting cover songs with pitch class key-invariant networks. In IEEE International Workshop on Machine Learning for Signal Processing (MLSP). Gold Coast, Queensland, Australia, IEEE, Oct 2021. [ bib | http ]
[43]
K O'Hanlon and M Sandler. Fifthnet: Structured compact neural networks for automatic chord recognition. IEEE/ACM Transactions on Audio Speech and Language Processing, 29:2671-2682, Jan 2021. [ bib | DOI ]
[44]
Y Ozaki, J McBride, E Benetos, PQ Pfordresher, J Six, A T. Tierney, P Proutskova, E Sakai, H Kondo, H Fukatsu, S Fujii, and PE Savage. Agreement among human and annotated transcriptions of global songs. In 22nd International Society for Music Information Retrieval Conference (ISMIR). International Society for Music Information Retrieval, Nov 2021. [ bib | http ]
[45]
EE Ozkan, T Gurion, J Hough, PGT Healey, and L Jamone. Specific hand motion patterns correlate to miscommunications during dyadic conversations. Aug 2021. [ bib | DOI ]
[46]
S Park, PGT Healey, and A Kaniadakis. Should robots blush? May 2021. [ bib | DOI ]
[47]
A Pelicon, R Shekhar, M Martinc, B Škrlj, M Purver, and S Pollak. Zero-shot cross-lingual content filtering: Offensive language and hate speech detection. In EACL workshop on News Media Content Analysis and Automated Report Generation, pages 30-34. Kyiv (online), Apr 2021. [ bib ]
[48]
A Pelicon, R Shekhar, B Skrlj, M Purver, and S Pollak. Investigating cross-lingual training for offensive language detection. PeerJ Comput. Sci., 7:e559-e559, Jun 2021. [ bib ]
[49]
LD Pham, H Phan, R Palaniappan, A Mertins, and I Mcloughlin. Cnn-moe based framework for classification of respiratory anomalies and lung disease detection. IEEE Journal of Biomedical and Health Informatics, PP, Mar 2021. [ bib | DOI | http ]
[50]
H Phan, OY Chen, MC Tran, P Koch, A Mertins, and M De Vos. Xsleepnet: Multi-view sequential model for automatic sleep staging. IEEE Trans Pattern Anal Mach Intell, PP, Mar 2021. [ bib | DOI | http ]
[51]
S Pollak, M Robnik-Šikonja, M Purver, M Boggia, R Shekhar, M Pranjić, S Salmela, I Krustok, T Paju, C-G Linden, L Leppànen, E Zosa, M Ulčar, L Freiental, S Traat, LA Cabrera-Diego, M Martinc, N Lavrač, B Škrlj, M Žnidaršič, A Pelicon, B Koloski, V Podpečan, J Kranjc, S Sheehan, E Boros, J Moreno, A Doucet, and H Toivonen. Embeddia tools, datasets and challenges: Resources and hackathon contributions. In EACL workshop on News Media Content Analysis and Automated Report Generation, pages 99-109. Kyiv (online), Apr 2021. [ bib ]
[52]
M Purver, M Sadrzadeh, R Kempson, G Wijnholds, and J Hough. Incremental composition in distributional semantics. Journal of Logic, Language and Information, Jul 2021. [ bib | DOI | http ]
[53]
DR Quiroga-Martinez, NC Hansen, A Højlund, M Pearce, E Brattico, E Holmes, K Friston, and P Vuust. Musicianship and melodic predictability enhance neural gain in auditory cortex during pitch deviance detection. Human Brain Mapping, Jan 2021. [ bib | DOI ]
[54]
A Ragano, E Benetos, and A Hines. More for less: Non-intrusive speech quality assessment with limited annotations. In 13th International Conference on Quality of Multimedia Experience (QoMEX), Jun 2021. [ bib | DOI ]
[55]
J Ratclife, F Soave, N Bryan-Kinns, L Tokarchuk, and I Farkhatdinov. Extended reality (xr) remote research: A survey of drawbacks and opportunities. Conference on Human Factors in Computing Systems - Proceedings, May 2021. [ bib | DOI ]
[56]
J Ratcliffe, F Soave, N Bryan-Kinns, L Tokarchuk, and I Farkhatdinov. Extended reality (xr) remote research: a survey of drawbacks and opportunities. pages 527:1-527:1. ACM, 2021. [ bib | http ]
[57]
J Ratcliffe, F Soave, M Hoover, FR Ortega, N Bryan-Kinns, L Tokarchuk, and I Farkhatdinov. Remote xr studies: Exploring three key challenges of remote xr experimentation. pages 121:1-121:1. ACM, 2021. [ bib | http ]
[58]
CN Reed and AP McPherson. Surface electromyography for sensing performance intention and musical imagery in vocalists. Feb 2021. [ bib | DOI ]
[59]
JD Reiss, HE Tez, and R Selfridge. A comparative perceptual evaluation of thunder synthesis techniques. Jan 2021. [ bib ]
[60]
N Robson, N Bryan-Kinns, and A Mcpherson. On mediating space, sound and experience: interviews with situated sound art practitioners. Organised Sound: an international journal of music and technology, 28(1). [ bib ]
[61]
M Rohanian, J Hough, and M Purver. Multi-modal fusion with gating using audio, lexical and disfluency features for alzheimer's dementia recognition from spontaneous speech. volume abs/2106.09668, 2021. [ bib ]
[62]
S Sarkar, E Benetos, and M Sandler. Vocal harmony separation using time-domain neural networks. In 22nd Annual Conference of the International Speech Communication Association (INTERSPEECH), pages 3515-3519. Brno, Czech Republic, Aug 2021. [ bib | DOI ]
[63]
R Shukla, R Stewart, and M Sandler. User hrtf selection for 3d auditory mixed reality. In Sound and Music Computing Conference. Online, Jun 2021. [ bib | DOI ]
[64]
S Singh, H Bear, and E Benetos. Prototypical networks for domain adaptation in acoustic scene classification. In IEEE International Conference on Acoustics, Speech and Signal Processing. Toronto, Canada, IEEE, Jun 2021. [ bib | DOI | .html ]
[65]
S Skach, R Stewart, and PGT Healey. Sensing social behavior with smart trousers. IEEE Pervasive Computing, 20(3):30-40, Jul 2021. [ bib | DOI ]
[66]
F Soave, I Farkhatdinov, and N Bryan-Kinns. Multisensory teleportation in virtual reality applications. pages 377-379, Mar 2021. [ bib | DOI ]
[67]
F Soave, A Padma Kumar, N Bryan-Kinns, and I Farkhatdinov. Exploring terminology for perception of motion in virtual reality. pages 171-179, Jun 2021. [ bib | DOI ]
[68]
CJ Steinmetz and JD Reiss. Pyloudnorm: A simple yet flexible loudness meter in python. Jan 2021. [ bib ]
[69]
V Subramanian, S Gururani, E Benetos, and M Sandler. Anomalous behaviour in loss-gradient based interpretability methods. In RobustML workshop paper at ICLR 2021, May 2021. [ bib ]
[70]
M Tenderini, E De Leeuw, T Eilola, and M Pearce. Reduced cross-modal affective priming in the l2 of late bilinguals depends on l2 exposure. Journal of Experimental Psychology: Learning, Memory, and Cognition. [ bib ]
[71]
L Turchet, D Baker, and T Stockman. Musical haptic wearables for synchronisation of visually-impaired performers: A co-design approach. pages 20-27, Jun 2021. [ bib | DOI ]
[72]
C Vahidi, G Fazekas, and C Saitis. A modulation front-end for music audio tagging. In The International Joint Conference on Neural Networks, Jul 2021. [ bib ]
[73]
C Vianna Lordelo, E Benetos, S Dixon, and S Ahlbäck. Pitch-informed instrument assignment using a deep convolutional network with multiple kernel shapes. In 22nd International Society for Music Information Retrieval Conference (ISMIR), Nov 2021. [ bib | http ]
[74]
C Vianna Lordelo, E Benetos, S Dixon, S Ahlbäck, and P Ohlsson. Adversarial unsupervised domain adaptation for harmonic-percussive source separation. IEEE Signal Processing Letters, 28:81-85, Jan 2021. [ bib | DOI ]
[75]
S Yang, CN Reed, E Chew, and M Barthet. Examining emotion perception agreement in live music performance. IEEE Transactions on Affective Computing, Jan 2021. [ bib | DOI ]
[76]
Y Zhang, G Xia, M Levy, and S Dixon. Cosmic: A conversational interface for human-ai music co-creation. In New Interfaces for Musical Expression, Apr 2021. [ bib ]
[77]
Y Zhao, C Wang, G Fazekas, E Benetos, and M Sandler. Violinist identification based on vibrato features. In 29th European Signal Processing Conference (EUSIPCO). EURASIP, Aug 2021. [ bib | http ]

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