Mathieu Hu
Audio Enhancement And Signal Processing Engineer at SoundHound Inc.
France
Summary
🤩
Rockstar🎓
Top SchoolMathieu Hu is an R&D engineer specializing in speech and audio signal processing with eight years of experience spanning research, prototyping, software development and production deployment. He has driven projects in dereverberation, speech enhancement, recognition and speaker spotting, and has a track record of moving algorithms into practical demos and industrial transfers—e.g., porting Kaldi to WebAssembly for low-latency in-browser recognition. Comfortable across Python, C++ and web stacks, he has implemented data augmentation pipelines, GUIs in React, Kubernetes-based CI/CD deployments and grapheme-to-phoneme models used in industry. An active contributor to the PyTorch-based Asteroid source-separation toolkit, he focuses on improving documentation, testing and developer ergonomics as much as models themselves. He holds a PhD from Imperial College London and combines deep academic expertise with hands-on engineering that makes audio research production-ready.
8 years of coding experience
7 years of employment as a software developer
Classe Préparatoire aux Grandes Ecoles-Mathematiques/Physique, Classe Préparatoire aux Grandes Ecoles-Mathematiques/Physique at Lycée Charlemagne (Paris 4e)Doctor of Philosophy (Ph.D.), Cross-relation based blind identification of SIMO acoustic systems and applications, Doctor of Philosophy (Ph.D.), Cross-relation based blind identification of SIMO acoustic systems and applications at Imperial College LondonDiplôme d'ingénieur, Electrical and Electronics Engineering, Diplôme d'ingénieur, Electrical and Electronics Engineering at Ecole nationale supérieure de l'Electronique et de ses Applications
English, French, Chinese, German
Github Skills (6)
pytorch10
documentation10
deeplearning-ai9
deep-learning9
sphinx8
python8
Programming languages (5)
Github contributions (5)
asteroid-team/asteroid
Dec 2019 - Nov 2020
The PyTorch-based audio source separation toolkit for researchers
Role in this project:
ML Engineer
ML EngineerContributions:16 reviews, 33 commits, 7 PRs in 11 months
Contributions summary:Mathieu primarily focused on enhancing the documentation and structure of the project, specifically within the context of building a PyTorch-based audio source separation toolkit. Their contributions involved adding intersphinx configurations to link to external documentation and making docstring enhancements. The user also contributed to the implementation of testing and documentation.
pytorchsource-separationdeep-learningaudio-separationaudio-source-separation
mhu-coder/.dotenv
Feb 2021 - Nov 2024
Contributions:7 pushes, 1 branch in 3 years 10 months
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