Enric Gusó
PHD Student at Eurecat - Centro Tecnológico de Catalunya
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolEnric Gusó is an audio technology researcher and PhD candidate based in Barcelona with eight years of hands-on experience spanning live sound engineering, broadcast production, and machine learning for audio. He has combined industry-facing research at Eurecat and the Music Technology Group with internships at Dolby and Sony, focusing on deep learning for music source separation and playlist re-ranking by harmonic transitions. Comfortable both on festival FOH stacks and in research labs, he brings practical system design skills (Dante, Luminex, Smaart, Meyer MAPP) to complex audio-ML problems. His background founding a radio show and deploying redundant live networks gives him uncommon product-minded empathy for real-world audio workflows. Currently pursuing a PhD at Universitat Pompeu Fabra, he merges rigorous academic methods with applied solutions for music and sound technology.
8 years of coding experience
12 years of employment as a software developer
Bachelor’s degree in Audiovisual Systems Engineering, Telecommunications, Specialization in Sound and Music Technologies, Bachelor’s degree in Audiovisual Systems Engineering, Telecommunications, Specialization in Sound and Music Technologies at Universitat Pompeu FabraPhD student, PhD student at Universitat Pompeu Fabra - BarcelonaUniversitat Politècnica de València
Spanish, Catalan, English
Github Skills (27)
audio9
speech9
noise9
noise-reduction8
sound-synthesis8
speech-enhancement8
acoustics7
pytorch7
deep-learning7
filtering7
rust7
signal-processing6
music-information-retrieval5
algorithms4
python4
Programming languages (2)
Github contributions (5)
enricguso/UMX_loss_functions
Apr 2020 - May 2020
Open-Unmix - Music Source Separation for PyTorch
Contributions:51 commits, 36 pushes, 8 branches in 1 month
pytorchsource-separation
enricguso/group_humanizer
Dec 2017 - Dec 2017
Contributions:1 release, 18 commits, 19 pushes in 6 days
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