Francesc Salvadó
Senior Machine Learning Engineer, Audio Processing at Bang & Olufsen
Copenhagen, Capital Region of Denmark
Summary
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Senior🎓
Top SchoolFrancesc Salvadó is a Senior Machine Learning Engineer specializing in efficient audio processing and room acoustics estimation, currently leading model design and end-to-end deployment at Bang & Olufsen. With 8 years of experience spanning industry and academia, he combines a PhD-level research background in spatial audio with practical product work, including a Marie Curie fellowship and visiting research roles at Sennheiser and Aalto. His work bridges research and production—examples include a published deep-learning method for sound field reconstruction that works with few and irregular microphones and open-source implementations for source separation. Comfortable across signal processing, ML model efficiency, and embedded inference, he delivers solutions that respect real-world constraints of audio devices. Based in Copenhagen, he brings a rare mix of formal musical training and telecommunications/computer science education to craft audio models that sound as good as they perform.
8 years of coding experience
1 year of employment as a software developer
Professional degree Violin and Piano, Professional degree Violin and Piano at Conservatori Professional i Escola de Música de CerveraBachelor's degree Computer Science, Bachelor's degree Computer Science at Northeastern UniversityUPC Universitat Politècnica de CatalunyaDoctor of Philosophy - PhD Computational Science, Doctor of Philosophy - PhD Computational Science at University of Music and Performing Arts ViennaMaster of Science - MS Sound and Music Computing, Master of Science - MS Sound and Music Computing at Universitat Pompeu Fabra
Catalan, Spanish, EnglishGithub contributions (5)
francesclluis/source-separation-wavenet
Oct 2018 - Jan 2020
Contributions:15 commits, 9 pushes in 1 year 3 months
francesclluis/sound-field-neural-network
Jan 2020 - Sep 2020
Contributions:2 commits, 4 pushes, 1 branch in 7 months
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