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Sean Wood

Professeur, Faculté de génie
FAC. GÉNIE Électrique et informatique

Présentation

Sujet de recherche

Neuronal Systems, Algorithms, Shape Recognition and Computer Graphics, Recognition of Speech

Disciplines de recherche

Electrical Engineering and Electronic Engineering, Computer Engineering and Software Engineering

Mots-clés

Neuromorphic Computing, Neural Signal Processing, Biosignal Processing, Artificial Neural Networks, Computational Neuroscience, Speech Processing

Intérêts de recherche

Advancing wearable medical devices with state-of-the-art artificial neural networks and neuromorphic computing hardware

Langues parlées et écrites

Anglais, Français

Diplômes

(2019). ASPP: Atomic Speech Presence Probability Estimation (Post-doctorate, Fellowship). Technishe Universitat Graz.

(2018). GCC-NMF: Low Latency Real-time Speech Separation and Enhancement (Doctorate, PhD). Université de Sherbrooke.

(2010). Non-negative matrix decomposition approaches to frequency domain analysis of music audio signals (Master's Thesis, MSc). Université de Montréal.

(2004). An Inverted Index Approach to Music Retrieval (Bachelor's, BApSc - Engineering Science). University of Toronto.

Titres de compétence

Candidate to the Engineering Profession (CEP), Ordre des ingénieurs du Québec (OIQ).

Expérience académique

Assistant Professor. (2021-). Université de Sherbrooke. Canada.

Postdoctoral Fellow. (2018-2019). Technishe Universitat Graz. Austria.

Financement

  • Grant. (Awarded). Principal Investigator. Neuromorphic Wearable Medical Devices. Natural Sciences and Engineering Research Council of Canada (NSERC). 172 500 $. (2023-2028)
  • Research Chair. (Awarded). Co-investigator. MEI Research Chair in Neuromorphic Computing. Ministère de l’Économie et de l’Innovation du Québec (MEI). 1 000 000 $. (2021-2026)
  • Grant. (Completed). Co-investigator. Nonlinear phasic sensing for biomimetic electronic skin: advancing sensory in prosthetic limbs and robotics. Mathematics of Information Technology and Complex Systems (MITACS). Accelerate. 60 000 $. (2024-2025)
  • Grant. (Awarded). Co-investigator. Amélioration de l'architecture de traitement et d'interprétation d'interactions tactiles de la peau électronique Poly-E-Skin. Ministère de l’Économie de l’Innovation de l’Énergie (MEIE). Programme de maturation technologique PSO – volet 2d. 188 068 $. (2024-2025)
  • Grant. (Awarded). Principal Investigator. Prompt-IA : Soutien à l'embauche de techniciens et professionels de recherche. PROMPT-Québec. Prompt-IA. 500 000 $. (2022-2025)
  • Grant. (Awarded). Principal Investigator. Start-up funds from the Université de Sherbrooke : Faculté de Génie / Département de génie électrique et de génie informatique.. University of Sherbrooke. 70 000 $. (2021-2024)
  • Grant. (Awarded). Co-investigator. Embedded Neural Audio Synthesis for Musical Expression. Centre for Interdisciplinary Research in Music Media and Technology (CIRMMT). Agile Seed Funding. 5 000 $. (2023-2024)
  • Contract. (Completed). Co-investigator. Suppression de la voix d’un mélange audio pour générer un signal haptique en temps réel. National Research Council Canada (NRC) (Ottawa, ON). Industrial Research Assistance Program (IRAP). 5 000 $. (2023-2023)

Publications

Articles de revue

  • Banville, Hubert; Abou Jaoude, Maurice; Wood, Sean UN; Aimone, Chris; Holst, Sebastian; Gramfort, Alexandre; Engemann, Denis-Alexander. (2024). Do try this at home: Age prediction from sleep and meditation with large-scale low-cost mobile EEG. Imaging Neuroscience 2 (Published).
  • Banville, Hubert; Wood, Sean UN; Aimone, Chris; Engemann, Denis-Alexander; Gramfort, Alexandre. (2022). Robust learning from corrupted EEG with dynamic spatial filtering. NeuroImage 251 (Published).
  • Pironkov, Gueorgui; Wood, Sean UN; Dupont, Stéphane. (2020). Hybrid-task learning for robust automatic speech recognition. Computer Speech & Language 64 (Published).
  • Wood, Sean UN; Stahl, Johannes KW; Mowlaee, Pejman. (2019). Binaural Codebook-based Speech Enhancement with Atomic Speech Presence Probability. IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12), 2150-2161. (Published).
  • Wood, Sean UN; Rouat, Jean. (2019). Unsupervised Low Latency Speech Enhancement with RT-GCC-NMF. IEEE Journal of Selected Topics in Signal Processing, Special Issue on Data Science: Machine Learning for Audio Signal Processing 13 (2), 332-346. (Published).
  • Wood, Sean UN; Rouat, Jean; Dupont, Stéphane; Pironkov, Gueorgui. (2017). Blind Speech Separation and Enhancement with GCC-NMF. IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (4), 745-755. (Published).
  • Adeli, Mohammad; Rouat, Jean; Wood, Sean; Molotchnikoff, Stéphane; Plourde, Eric. (2016). A flexible bio-inspired hierarchical model for analyzing musical timbre. IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (5), 875-889. (Published).
  • Zarate, Jean Mary; Wood, Sean; Zatorre Robert J. (2010). Neural networks involved in voluntary and involuntary vocal pitch regulation in experienced singers. Neuropsychologia 48 (2), 607-618. (Published).

Ressources en ligne

  • Wood, Sean UN. (2019). ASPP: Atomic Speech Presence Probability Estimation. Site Web.
  • Wood, Sean UN. (2017). GCC-NMF: Low Latency Real-time Blind Source Separation and Denoising. Site Web.

Articles de conférence

  • Yarga, Sidi Yaya Arnaud; Wood, Sean UN. (2024). Neuromorphic Keyword Spotting with Pulse Density Modulation MEMS Microphones. Interspeech. Greece, (Accepted).
  • Sidi Yaya Arnaud Yarga, Sean UN Wood. (2023). Accelerating SNN Training with Stochastic Parallelizable Spiking Neurons. International Joint Conference on Neural Networks (IJCNN). Australia, (Published).
  • 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). Canada, (Published).
  • Yarga, Arnaud SY; Rouat, Jean; Wood, Sean UN. (2022). Efficient Spike Encoding Algorithms for Neuromorphic Speech Recognition. International Conference on Neuromorphic Systems (ICONS). United States of America, (Published).
  • Mowlaee, Pejman; Scheran, Daniel; Stahl, Johannes; Wood, Sean UN; Kleijn, WB. (2019). Maximum a posteriori Speech Enhancement Based on Double Spectrum. INTERSPEECH. Austria, 2738-2742. (Published).
  • Pironkov, Gueorgui; Wood, Sean UN; Dupont, Stéphane; Dutoit, Thierry. (2018). Investigating a Hybrid Learning Approach for Robust Automatic Speech Recognition. International Conference on Statistical Language and Speech Processing. Belgium, (Published).
  • 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. Germany, (Published).
  • 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. Belgium, 94-120. (Published).
  • Pironkov, Gueorgui; Dupont, Stéphane; Wood, Sean UN; Dutoit, Thierry. (2017). Noise and speech estimation as auxiliary tasks for robust speech recognition. International Conference on Statistical Language and Speech Processing. France, 181-192. (Published).
  • Wood, Sean UN; Rouat, Jean. (2017). Real-time Speech Enhancement with GCC-NMF. INTERSPEECH. Sweden, 2665-2669. (Published).
  • Wood, Sean UN; Rouat, Jean. (2017). Real-time Speech Enhancement with GCC-NMF: Demonstration on the Raspberry Pi and NVIDIA Jetson. INTERSPEECH. Sweden, 2048-2049. (Published).
  • 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. Sweden, (Published).
  • Wood, Sean UN; Rouat, Jean. (2016). Blind Speech Separation with GCC-NMF. INTERSPEECH. United States of America, 3329-3333. (Published).
  • Rouat, Jean; Lescal, Damien; Wood, Sean. (2014). Handheld device for substitution from vision to audition. International Conference on Auditory Display (ICAD). United States of America, (Published).
  • Hamel, Philippe; Wood, Sean; Eck, Douglas. (2009). Automatic identification of instrument classes in polyphonic and poly-instrument audio. International Society for Music Information Retrieval Conference (ISMIR). Japan, (Published).

Propriétés intellectuelles

Patents

  • Aimone, Christopher A, Moffat, Graeme; Banville, Hubert J; Wood, Sean; Padmanaban, Subash; Kerr, Sam; Ravi, Aravind. (2023). System and method for brain modelling. US11696714B2. United States of America. (Allowed).
  • Banville, Hubert Jacob; Aimone, Christopher Allen; Wood, Sean Ulrich Niethe. Learning representations of EEG signals with self-supervised learning. United States of America. (Pending).

Autres contributions

Cours enseignés

  • Recurrent Neural Networks. GRO722. (2023-03-07 à 2023-03-24).(2CR).
  • Convolutional Neural Networks for Image Processing. GRO721. (2023-02-01 à 2022-02-17).(2CR).
  • Recurrent Neural Networks. GRO722. (2022-03-01 à 2022-03-25).(2CR).
  • Artificial Neural Networks with Supervised Learning. GRO720. (2022-01-07 à 2022-02-01).(2CR).

Gestion d'évènements

  • Organizer. (2022) Colloque NECOTIS / UdeM. (Workshop).

Activités de collaboration internationale

  • Postdoctoral researcher with Dr. Pejman Mowlaee. Austria.
  • PhD student intern with Dr. Stéphane Dupont. Belgium.
  • Co-supervisor of PhD student with Dr. Pierre Yger. France.

Présentations

  • (2023). Parallelizing Spiking Neural Network Training Over Time and Neuromorphic Computing at the University of Sherbrooke. Centre for Theoretical Neuroscience Nengo Summer School. Waterloo, Canada
  • (2019). Binaural speech enhancement with compositional models of sound. Widex A/S Research Day. Copenhagen, Denmark
  • 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, Germany
  • (2017). Combining unsupervised learning with multi-channel signal processing for speech separation and speech enhancement. PhaseLab Research Day. Graz, Austria
  • (2017). Real-time Speech Enhancement with GCC-NMF. Interspeech. Stockholm, Sweden
  • (2017). Real-time Speech Enhancement with GCC-NMF: Demonstration on the Raspberry Pi and NVIDIA Jetson. Interspeech: Show and Tell Demonstrations. Stockholm, Sweden
  • (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, Sweden
  • (2016). Auditory scene analysis and speech separation with GCC-NMF. IGLU Workshop. Mons, Belgium
  • (2016). Blind Speech Separation with GCC-NMF. Interspeech. San Francisco, United States of America
  • (2015). Sparse coding and sound source separation. eNTERFACE Workshop. Mons, Belgium
  • (2014). Optimizing sparse NMF hyperparameters for sound source separation. Colloque NECOTIS / Université de Montréal. Montréal, Canada
  • (2013). Topographic sparse coding and sound source separation. Sherbrooke Connectivity Imaging Laboratory (SCIL). Sherbrooke, Canada
  • (2011). Sparse coding and computational auditory scene analysis. Cognitive Systems Laboratory, McMaster University. Hamilton, Canada
  • (2009). Unsupervised machine learning approaches to polyphonic music analysis. BRAMS Scientific Day. Montréal, Canada
  • (2007). Automatic chord recognition using machine learning. CIRMMT/BRAMS Workshop on the Study of Keyboard Instruments. Montréal, Canada