Sean Wood

Financement

• Subvention. Neuromorphic Wearable Medical Devices. Natural Sciences and Engineering Research Council of Canada (Ottawa, Canada). 172 500 $. (2023-2028).
• Subvention. Embedded Neural Audio Synthesis for Musical Expression. CIRMMT (Montreal, Canada). Agile Seed Funding. 5 000 $. (2023-2024).
• Subvention. Suppression de la voix d’un mélange audio pour générer un signal haptique en temps réel. National Research Council Canada (Ottawa, Canada). Industrial Research Assistance Program (IRAP). 5 000 $. (2023).
• Subvention salariée. Research Chair in Neuromorphic Computing. Ministère de l'Économie, de l'Innovation et de l'Énergie (Montreal, Canada). 1 000 000 $. (2021-2027). Voir plus
• Subvention. Neuromorphic Algorithms for Wearable Devices. Université de Sherbrooke (Sherbrooke, Canada). University Startup Funds. 70 000 $. (2021-2026).
• Subvention. Prompt-IA : Soutien à l'embauche de techniciens et professionels de recherche. prompt - Artificial Intelligence (Montréal, Canada). 500 000 $.

Publications

Articles

• Sidi Yaya Arnaud Yarga, Sean U N Wood. (2025). End-to-end neuromorphic speech enhancement with PDM microphones*. Neuromorphic Computing and Engineering. DOI
• Alexis Mélot, Sean U N Wood, Yannick Coffinier, Pierre Yger, Fabien Alibart. (2025). Unsupervised sparse coding-based spiking neural network for real-time spike sorting. Neuromorphic Computing and Engineering. DOI
• Sidi Yaya Arnaud Yarga, Sean U N Wood. (2025). Accelerating spiking neural networks with parallelizable leaky integrate-and-fire neurons*. Neuromorphic Computing and Engineering. DOI
• Banville, Hubert; Wood, Sean UN; Aimone, Chris; Engemann, Denis-Alexander; Gramfort, Alexandre. (2022). Robust learning from corrupted EEG with dynamic spatial filtering. NeuroImage.
• Pironkov, Gueorgui; Wood, Sean UN; Dupont, Stéphane. (2020). Hybrid-task learning for robust automatic speech recognition. Computer Speech & Language.
• (2019). Unsupervised Low Latency Speech Enhancement With RT-GCC-NMF. IEEE Journal of Selected Topics in Signal Processing. DOI
• (2019). Binaural Codebook-based Speech Enhancement with Atomic Speech Presence Probability. IEEE/ACM Transactions on Audio, Speech, and Language Processing. DOI
• Sean U. Wood, Jean Rouat, Stephane Dupont, Gueorgui Pironkov. (2017). Blind Speech Separation and Enhancement with GCC-NMF. IEEE/ACM Transactions on Audio, Speech, and Language Processing. DOI
• Adeli, M., Rouat, J., Wood, S., Molotchnikoff, S., Plourde, E. (2016). A flexible bio-inspired hierarchical model for analyzing musical timbre. IEEE/ACM Transactions on Audio Speech and Language Processing. DOI
• Zarate, J.M., Wood, S., Zatorre, R.J. (2010). Neural networks involved in voluntary and involuntary vocal pitch regulation in experienced singers. Neuropsychologia. DOI
• Zarate, J.M., Delhommeau, K., Wood, S., Zatorre, R.J. (2010). Vocal accuracy and neural plasticity following micromelody-discrimination training. PLoS ONE. DOI

Livres

• Pironkov, G., Wood, S.U.N., Dupont, S., Dutoit, T. (2018). Investigating a hybrid learning approach for robust automatic speech recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). DOI
• Pironkov, G., Dupont, S., Wood, S.U.N., Dutoit, T. (2017). Noise and speech estimation as auxiliary tasks for robust speech recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). DOI

Articles de conférence

• Yarga, Sidi Yaya Arnaud; Wood, Sean UN. (2024). Neuromorphic Keyword Spotting with Pulse Density Modulation MEMS Microphones. Interspeech.
• Sidi Yaya Arnaud Yarga, Sean UN Wood. (2023). Accelerating SNN Training with Stochastic Parallelizable Spiking Neurons. International Joint Conference on Neural Networks (IJCNN).
• Alexis Mélot, Fabien Alibart, Pierre Yger, Sean UN Wood. (2023). Sparse Coding-Based Multichannel Spike Sorting with the Locally Competitive Algorithm. IEEE Biomedical Circuits and Systems (BioCAS).
• Yarga, Arnaud SY; Rouat, Jean; Wood, Sean UN. (2022). Efficient Spike Encoding Algorithms for Neuromorphic Speech Recognition. International Conference on Neuromorphic Systems (ICONS).
• Mowlaee, Pejman; Scheran, Daniel; Stahl, Johannes; Wood, Sean UN; Kleijn, WB. (2019). Maximum a posteriori Speech Enhancement Based on Double Spectrum. INTERSPEECH.
• Stahl, Johannes; Wood, Sean UN; Mowlaee, Pejman. (2018). Overcoming Covariance Matrix Phase Sensitivity in Single-Channel Speech Enhancement with Correlated Spectral Components. Speech Communication; 13th ITG-Symposium.
• Dupont, Stéphane; Altiok, Ozan Can; Bumin, Aysegül; Dikmen, Ceren; Giangreco, Ivan; Heller, Silvan; Külah, Emre; Pironkov, Gueorgui; Rossetto, Luca; Sahillioglu, Yusuf; Schuldt, Heiko; Seddati, Omar; Setinkaya, Yusuf; Sezgin, Metin; Tanase, Claudiu; Toyan, Emre; Wood, Sean; Yeke, Doguhan. (2018). VideoSketcher: Innovative Query Modes for Searching Videos through Sketches, Motion and Sound. eNTERFACE 2015 Workshop on Intelligent Interfaces.
• Wood, S.U., Rouat, J. (2017). Real-Time speech enhancement with GCC-NMF. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. DOI
• Wood, Sean UN; Rouat, Jean. (2017). Real-time Speech Enhancement with GCC-NMF: Demonstration on the Raspberry Pi and NVIDIA Jetson. INTERSPEECH.
• Wood, Sean UN; Rouat, Jean. (2017). Towards GCC-NMF Speech Enhancement for Hearing Assistive Devices: Reducing Latency with Asymmetric Windows. International Workshop on Challenges in Hearing Assistive Technology.
• Wood, S.U.N., Rouat, J. (2016). Blind speech separation with GCC-NMF. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. DOI
• Rouat, Jean; Lescal, Damien; Wood, Sean. (2014). Handheld device for substitution from vision to audition. International Conference on Auditory Display (ICAD).
• Hamel, P., Wood, S., Eck, D. (2009). Automatic identification of instrument classes in polyphonic and poly-instrument audio. Proceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR 2009.

Autres contributions

Cours enseignés ou supervisés à l'UdeS

• GRO721 - Réseaux de neurones convolutifs en traitement d'images. (2025-2026). (2CR).
• GRO722 - Réseaux de neurones récurrents. (2024-2026). (2CR).
• GEI723 - Neurosciences computationnelles et applications en traitement de l'information. (2025). (3CR).
• GEI805 - Projet de développement en génie électrique II. (2025). (6CR).
• GEI806 - Projet de développement en génie informatique II. (2023). (6CR).

Activités professionnelles

• Canada Foundation for Innovation. Expert merit-review for research infrastructure proposals. Ottawa, Ontario, Canada.
• Journal of the Acoustical Society of America. Reviewer.
• IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP). Reviewer.
• IEEE Transactions on Neural Networks and Learning Systems. Reviewer.
• International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Reviewer.
• Speech Communication. Reviewer.
• Advanced Science. Reviewer.
• Mitacs. Reviewer for Mitacs Accelerate. Vancouver, British Columbia, Canada.

Divers

• (2023). Parallelizing Spiking Neural Network Training Over Time and Neuromorphic Computing at the University of Sherbrooke. Centre for Theoretical Neuroscience Nengo Summer School, Waterloo.
• Aimone, Christopher A, Moffat, Graeme; Banville, Hubert J; Wood, Sean; Padmanaban, Subash; Kerr, Sam; Ravi, Aravind. (2023). System and method for brain modelling.
• Wood, Sean UN. (2019). ASPP: Atomic Speech Presence Probability Estimation.
• (2019). Binaural speech enhancement with compositional models of sound. Widex A/S Research Day, Copenhagen.
• Stahl, Johannes; Wood, Sean UN, Mowlaee, Pejman. (2018). Overcoming Covariance Matrix Phase Sensitivity in Single-Channel Speech Enhancement with Correlated Spectral Components. ITG Conference on Speech Communication, Oldenburg.
• (2017). Combining unsupervised learning with multi-channel signal processing for speech separation and speech enhancement. PhaseLab Research Day, Graz.
• Wood, Sean UN. (2017). GCC-NMF: Low Latency Real-time Blind Source Separation and Denoising.
• (2017). Real-time Speech Enhancement with GCC-NMF: Demonstration on the Raspberry Pi and NVIDIA Jetson. Interspeech: Show and Tell Demonstrations, Stockholm.
• (2017). Towards GCC-NMF Speech Enhancement for Hearing Assistive Devices: Reducing Latency with Asymmetric Windows. International Workshop on Challenges in Hearing Assistive Technology (CHAT), Stockholm.
• (2016). Auditory scene analysis and speech separation with GCC-NMF. IGLU Workshop, Mons.
• (2015). Sparse coding and sound source separation. eNTERFACE Workshop, Mons.
• (2014). Optimizing sparse NMF hyperparameters for sound source separation. Colloque NECOTIS / Université de Montréal, Montréal.
• (2013). Topographic sparse coding and sound source separation. Sherbrooke Connectivity Imaging Laboratory (SCIL), Sherbrooke.
• (2011). Sparse coding and computational auditory scene analysis. Cognitive Systems Laboratory, McMaster University, Hamilton.
• (2009). Unsupervised machine learning approaches to polyphonic music analysis. BRAMS Scientific Day, Montréal.
• (2007). Automatic chord recognition using machine learning. CIRMMT/BRAMS Workshop on the Study of Keyboard Instruments, Montréal.
• Banville, Hubert Jacob; Aimone, Christopher Allen; Wood, Sean Ulrich Niethe. Learning representations of EEG signals with self-supervised learning.