• Influence of Music on Perceived Emotions in Film 

  Wei, C; Kronland-Martinet, T; Frachi, Y; Barthet, M (2022-01-01)

  Film music plays a core role in film production and reception as it not only contributes to the film aesthetics and creativity, but it also affects viewers' experience and enjoyment. Film music composers often aim to serve ...

• Disentangling the Horowitz Factor: Learning Content and Style From Expressive Piano Performance 

  Zhang, H; Dixon, S; ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023-06-04)

• DMRN+17: Digital Music Research Network One-day Workshop 2022 

  Miller, J; Lewis, D; Guo, Z; Li, Y; Ma, Y; Vahidi, C; Boon, H; Wolstanholme, L; Gil Panal, JM; Hayes, B (Centre for Digital Music - C4DM, 2022-12-20)

  DMRN+17: Digital Music Research Network One-day Workshop 2022 Queen Mary University of London - Tuesday 20th December 2022. The Digital Music Research Network (DMRN) aims to promote research in the area of Digital Music, ...

• FCMCPS-COVID: AI propelled fog-cloud inspired scalable medical cyber-physical system, specific to coronavirus disease. 

  Verma, P; Gupta, A; Kumar, M; Gill, SS (2023-10)

  Medical cyber-physical systems (MCPS) firmly integrate a network of medical objects. These systems are highly efficacious and have been progressively used in the Healthcare 4.0 to achieve continuous high-quality services. ...

• Guitar augmentation for Percussive Fingerstyle: Combining self-reflexive practice and user-centred design 

  Martelloni, A; McPherson, A; Barthet, M (2021-01-01)

  What is the relationship between a musician-designer's auditory imagery for a musical piece, a design idea for an augmented instrument to support the realisation of that piece, and the aspiration to introduce the resulting ...

• Willingness, Motivators and Barriers to using Anxiety-focused Apps in people with and without chronic pain: A Questionnaire Study. 

  Dowse, A; Curzon, P; Morrissey, D; British Pain Society - 56th Annual Scientific Meeting (2023-05-09)

• On the Role of Reflection and Digital Tool Design for Creative Practitioners 

  Ford, C; Bryan-Kinns, N; Digital Skills for the Creative Practitioner: Supporting Informal Learning of Technologies for Creativity Workshop at CHI 2023 (2023-04-28)

  This position paper suggests that Creativity Support Tools (CSTs) could be designed for reflection to foster self-learning in creative user experiences. The authors suggest that a state where people continually apply ...

• ChatGPT: Vision and challenges 

  Gill, SS; Kaur, R (2023-05-15)

  Artificial intelligence (AI) and machine learning have changed the nature of scientific inquiry in recent years. Of these, the development of virtual assistants has accelerated greatly in the past few years, with ChatGPT ...

• Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs 

  Rohanian, M; Hough, J; Purver, M (2021-06-29)

• Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization 

  Gan, Y; Chen, X; Purver, M (2021-09-10)

• CoRAL: a Context-aware Croatian Abusive Language Dataset 

  Shekhar, R; Karan, M; Purver, M (2022-01-01)

  In light of unprecedented increases in the popularity of the internet and social media, comment moderation has never been a more relevant task. Semi-automated comment moderation systems greatly aid human moderatorsby either ...

• Natural SQL: Making SQL Easier to Infer from Natural Language Specifications 

  Gan, Y; Chen, X; Xie, J; Purver, M; Woodward, JR; Drake, J; Zhang, Q (2021-09-10)

• JSI at SemEval-2022 Task 1: CODWOE - Reverse Dictionary: Monolingual, multilingual, and cross-lingual approaches 

  Tran, HTH; Martinc, M; Purver, M; Pollak, S (2022-01-01)

  The reverse dictionary is a sequence-to-vector task in which a gloss is provided as input, and the model is trained to output a semantically matching word vector. The reverse dictionary is useful in practical applications ...

• Misspelling Semantics in Thai 

  Nakwijit, P; Purver, M; Mariani, J (2022)

• Mesostructures: Beyond Spectrogram Loss in Differentiable Time–Frequency Analysis 

  Vahidi, C; Han, H; Wang, C; Fazekas, G; LAGRANGE, M; LOSTANLEN, V

  Computer musicians refer to mesostructures as the intermediate levels of articulation between the microstructure of waveshapes and the macrostructure of musical forms. Examples of mesostructures include melody, arpeggios, ...

• Computing ecosystems: neural networks and embedded hardware platforms 

  Pelinski Ramos, T; Caspe, F; Mcpherson, A; Sandler, M; CHI 2023

  Embedded hardware platforms such as single-board computers (e.g., Raspberry Pi, Bela) or microcontrollers (e.g., Teensy, Arduino Uno) offer an entry point for beginners into physical computing. However, deploying neural ...

• Pipeline for recording datasets and running neural networks on the Bela embedded hardware platform 

  Pelinski Ramos, T; Diaz Fernandez, R; Benito Temprano, AL; Mcpherson, A; NIME 2023

  Deploying deep learning models on embedded devices is an arduous task: oftentimes, there exist no platform-specific instructions, and compilation times can be considerably large due to the limited computational resources ...

• Adapting Language-Audio Models as Few-Shot Audio Learners 

  Liang, J; Liu, X; Liu, H; Phan, H; Benetos, E; Plumbley, M; Wang, W; 24th Annual Conference of the International Speech Communication Association (INTERSPEECH) (2023-08-20)

  Contrastive language-audio pretraining (CLAP) has become a new paradigm to learn audio concepts with audio-text pairs. CLAP models have shown unprecedented performance as zero-shot classifiers on downstream tasks. To further ...

• Adapting Language-Audio Models as Few-Shot Audio Learners 

  Liang, J; Liu, X; Liu, H; Phan, H; Benetos, E; Plumbley, M; Wang, W; 24th Annual Conference of the International Speech Communication Association (INTERSPEECH) (2023-08-20)

  Contrastive language-audio pretraining (CLAP) has become a new paradigm to learn audio concepts with audio-text pairs. CLAP models have shown unprecedented performance as zero-shot classifiers on downstream tasks. To further ...

• PISketch: Finding Persistent and Infrequent Flows 

  Fan, Z; Hu, Z; Wu, Y; Guo, J; Wang, S; Liu, W; Yang, T; Tu, Y; Uhlig, S (2023-05-11)

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