Harry Tan
AI & Audio Scientist at Universal Music Group
Singapore
Summary
👤
Senior🎓
Top SchoolHarry Tan is an AI & Audio Scientist with a decade of experience building machine learning systems for music, media, and creative applications across startups and global platforms. He’s worked on on-device and cloud ML for audio at BandLab, content identification at Fairphonic, and deep ranking at TikTok, and now applies that blend of research and production engineering at Universal Music Group. His background spans controllable audio synthesis and emotion-guided music generation from academic R&D to practical tools like SongStarter, Voice Changer, Audio-to-MIDI, and similar-sound retrieval. Based in Singapore, he combines a computer science foundation from NTU and CUHK with a knack for shipping user-facing creative features that hide complex audio ML under the hood.
11 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Nanyang Technological UniversityThe Chinese University of Hong Kong (CUHK)
Chinese, Malay, English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (87)
spectrogram10
deep-learning10
piano10
polyphonic10
mozart10
bilstm10
onnx10
hardware-acceleration10
midi10
transcription10
music10
ai-framework10
preprocessing10
audio-processing10
music-information-retrieval10
Programming languages (7)
Github contributions (5)
gudgud96/music-fader-nets
Mar 2020 - Nov 2020
Code accompanying ISMIR 2020 paper - "Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling".
Contributions:1 release, 19 commits, 4 pushes in 8 months
music-generation
gudgud96/frechet-audio-distance
Sep 2022 - Dec 2022
A lightweight library for Frechet Audio Distance calculation.
Contributions:7 releases, 7 reviews, 8 commits in 3 months
audio
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