Scalogram Neural Network Activations with Machine Learning for Domestic Multi-channel Audio Classification A Copiaco, C Ritz, S Fasciani, N Abdulaziz ISSPIT 2019, 2019 | 26 | 2019 |
20 NIMEs: Twenty Years of New Interfaces for Musical Expression S Fasciani, J Goode New Interfaces for Musical Expression, 2021 | 22 | 2021 |
A voice interface for sound generators: adaptive and automatic mapping of gestures to sound S Fasciani, L Wyse | 19 | 2012 |
A study of features and deep neural network architectures and hyper-parameters for domestic audio classification A Copiaco, C Ritz, N Abdulaziz, S Fasciani Applied Sciences 11 (11), 4880, 2021 | 17 | 2021 |
PYNQ-Torch: a framework to develop PyTorch accelerators on the PYNQ platform M Vohra, S Fasciani ISSPIT 2019, 2019 | 14 | 2019 |
Voice Controlled interface for Digital Musical Instrument S Fasciani National University of Singapore, 2014 | 13 | 2014 |
Adapting general purpose interfaces to synthesis engines using unsupervised dimensionality reduction techniques and inverse mapping from features to parameters S Fasciani, L Wyse | 11 | 2012 |
Student active learning in a two campus organisation R Støckert, A Bergsland, S Fasciani, AR Jensenius The International Scientific Conference eLearning and Software for Education …, 2020 | 10 | 2020 |
Identifying Optimal Features for Multi-channel Acoustic Scene Classification A Copiaco, C Ritz, N Abdulaziz, S Fasciani ICSPIS 2019, 2019 | 10 | 2019 |
A Self-Organizing Gesture Map for a Voice-Controlled Instrument Interface. S Fasciani, L Wyse NIME, 507-512, 2013 | 8 | 2013 |
Voice Features For Control: A Vocalist Dependent Method For Noise Measurement And Independent Signals Computation S Fasciani Proceedings of the 15th International Conference on Digital Audio Effects, 2012 | 8 | 2012 |
Comparative study of cone-shaped versus flat-panel speakers for active noise control of multi-tonal signals in open windows S Fasciani, J Heb, L Bhanc, T Muraod, WS Gane INTER-NOISE and NOISE-CON Congress and Conference Proceedings 250 (6), 1109-1120, 2015 | 7 | 2015 |
Spectral Granular Synthesis S Fasciani International Computer Music Conference 2018, Daegu, Korea, 2018 | 6 | 2018 |
TSAM: a Tool for Analyzing, Modeling, and Mapping the Timbre of Sound Synthesizers S Fasciani Proceedings of the 13th Sound and Music Computing Conference, Hamburg, Germany, 2016 | 6 | 2016 |
Mapping the voice for musical control S Fasciani, L Wyse Tech. rep., National University of Singapore, Singapore, 2013 | 6 | 2013 |
Interactive computation of timbre spaces for sound synthesis control S Fasciani Proceedings of the 2nd International Symposium on Sound and Interactivity …, 2015 | 5 | 2015 |
Deep Learning Conditioned Modeling of Optical Compression R Simionato, S Fasciani Proceedings of the International Conference on Digital Audio Effects, 2022 | 4 | 2022 |
Vocal control of sound synthesis personalized by unsupervised machine listening and learning S Fasciani, L Wyse Computer Music Journal 42 (1), 37-59, 2018 | 4 | 2018 |
Fully Conditioned and Low-latency Black-box Modeling of Analog Compression SF Riccardo Simionato Proceedings of the International Conference on Digital Audio Effects, 2023 | 3 | 2023 |
Network-based collaborative music making S Fasciani URL: https://www. youtube. com/watch, 2020 | 3 | 2020 |