Gabriel Bibbó
Audio Researcher | Research Engineer
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I am an R&D Engineer with the AI for Sound group at the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP). My work involves advancing AI/ML techniques for audio analysis, generation, and interaction. My expertise includes Deep Learning (PyTorch), audio signal processing, and implementing software for research prototypes and real-world audio applications. I am skilled in addressing complex challenges at the intersection of sound, music computing, and user experience, combining strong analytical and creative problem-solving skills with a deep interest in AI's potential in music. I hold a BSc in Electrical Engineering from Universidad de la República (UdelaR, Uruguay) with a focus on DSP and embedded systems, and an MSc in Sound & Music Computing from Universitat Pompeu Fabra (UPF Barcelona, Spain), where my research on harmonic mixing was published by Springer. My industry experience includes developing embedded Python solutions for Bang & Olufsen (B&O) audio and automation systems at Ikatu, along with roles related to Google and KPMG. This practical engineering background, combined with my experience as a DJ, informs my current work on Sound Event Detection, embedded AI robustness, and ethical AI. I aim to develop interactive, real-time AI music generation tools. Email: g.bibbo@surrey.ac.uk Links: [ORCID] | [Scholar] | [Github] | [LinkedIn] |
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Gabriel Bibbó; Arshdeep Singh; Thomas Deacon; Haohe Liu; Mark D. Plumbley IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), Hyderabad, India, April 2025. link |
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Gabriel Bibbó; Arshdeep Singh; Mark D. Plumbley INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Nantes, France, August 2024. DOI: 10.3397/in_2024_3723 |
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Gabriel Bibbó; Thomas Deacon; Arshdeep Singh; Mark D. Plumbley 8th International Workshop on Speech Processing in Everyday Environments (CHiME 2024), Kos Island, Greece, September 2024. DOI: 10.21437/chime.2024-11 |
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Thomas Deacon; Gabriel Bibbó; Arshdeep Singh; Mark D. Plumbley International Conference on Sound and Music Computing (SMC 2024), Porto, Portugal, July 2024. paper |
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Gabriel Bibbó; Arshdeep Singh; Mark D. Plumbley IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2023), New York, U.S.A, October 2023. DOI: 10.5281/zenodo.15465882 | video/demo |
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Gabriel Bibbó Frau; Ángel Faraldo International Conference on Web Engineering (ICWE 2022), Springer, Bari, Italy, July 2022. DOI: 10.1007/978-3-031-09917-5_37 |
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Gabriel Bibbó; Angel Faraldo Dissertation or Thesis, Universitat Pompeu Fabra, October 2021. DOI: 10.5281/zenodo.5554688 |
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Gabriel Bibbó; Mariana Gelós; Martín Randall; Pablo Belzarena; Federico Larroca Dissertation or Thesis, Universidad de la República (Uruguay), December 2017. link |
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Creator (Feb 2020 - Aug 2022), Associated with Universidad de la República. Mechanical device to avoid contact with contaminated surfaces (bus handrails, doors, buttons). Features an optimized shape, lightweight, and sanitizable. Promotional Video |
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Designer and Developer (Apr 2020 - Feb 2021) IoT device for hand washing in the meat industry. Stainless steel, WiFi, cloud platform, IR/RFID sensors, and 3-litre capacity. |
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Project Manager (Mar 2020 - Aug 2020) Blockchain-based mobile app for booking appointments to avoid crowds during the pandemic. Supported by Aeternity, emerged from HackCovid19 (ORT Uruguay). |
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Research Engineer in Sound Sensing, University of Surrey, Guildford, UK (Nov 2022 - Present) Developing AI-driven sound sensing systems (incl. software, libraries, datasets) for the 'AI for Sound' project. Applying advanced deep learning and audio signal processing. Designing, deploying, and evaluating pilot systems/POCs. Publishing research and supervising student projects. Technical Support Engineer - Google Workspace, Webhelp, Barcelona, Spain (Mar 2022 - Nov 2022) Tier 3 technical support in cloud services for Google Workspace enterprise customers. IT Auditor, KPMG, Barcelona, Spain (Nov 2021 - Mar 2022) Support to telecommunications companies or IT departments in audit services. R&D Engineer, Ikatu, Montevideo, Uruguay (Aug 2016 - Dic 2019) Developed new technologies for customised integrated home automation (Bang & Olufsen). SW/HW design, low-level drivers, project management, testing, and validation. Trained new programmers. Intern, Ikatu, Montevideo, Uruguay (Apr 2016 - Jul 2016) Developed and coordinated a complete home automation system project. Affiliate Member, IEEE Signal Processing Society (Member #101096528) (Jan 2025 - Dec 2025) Grant: AI for Sound, Engineering and Physical Sciences Research Council (EPSRC) (Apr 2020 - Dec 2025) Part of the team working on the EP/T019751/1 grant to bring "AI for Sound" technology out of the lab. |
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Master’s Degree in Sound and Music Computing, Universitat Pompeu Fabra, Barcelona (2021). Bachelor’s Degree in Electrical Engineering (spec. Signal Processing), Universidad de la República, Uruguay (2017). Music school “Virgilio Scarabelli Alberti”, Montevideo (Musical language, guitar, ensembles) (2005). Certifications: PRINCE2® Foundation in Project Management, Deep Learning Specialization (Coursera), Machine Learning (Stanford/Coursera), Audio Signal Processing for Music Applications (Coursera), Electronic Music Production (AURA). Technical Skills: AI/ML: Deep Learning (PyTorch), Supervised & Unsupervised Learning, Representation Learning, Explainable AI, Edge AI/TinyML. Audio: Digital Signal Processing, Synthesis, Time-frequency processing, Acoustic Scene Understanding, MIR. Programming: Python, C++, MATLAB, Arduino, HTML, UX Design. Hardware: Embedded Systems, RTOS, Analog & Digital Electronics. Research: User-Centred Design, Experiment Design, Proposal Writing, Technical Communication, Git. Languages: Spanish (Native), English (C1), Portuguese (A2). |
Original template credits: Jon Barron, Abhishek Kar, Saurabh Gupta and Xubo Liu (used Unnat's variant). Adapted by Gabriel Bibbó. |