Maxime Baelde, Ph. D Data Scientist
About me
| I'm a Data Scientist, specialized in audio signal processing, generative models and Deep Learning. | |
| My Ph. D thesis was focused on real-time audio source localization, identification and separation. My supervisors were Christophe Biernacki (Scientific Deputy at Inria Lille) and Raphaël Greff (R&D Director at A-Volute). | |
| I'm graduated from University Lille 1 (Ph. D in Applied Mathematics, Master Research Applied Mathematics) and Ecole Centrale de Lille (Master Decision and Data Analysis). | |
| I'm also a self-taught musician (guitarist, bassist, pianist) for about 10 years, mainly playing Progressive Metal musics (Meshuggah, Periphery, ...) and Muse. I have a YouTube channel where I post guitar and bass covers of various songs. I also have a Bandcamp page for my solo music project Fracton. | |
| Finally I'm a casual video game player, Nintendaddict (The Legend of Zelda serie) and Switch player. | |
| You can find my résumé here |
Skills
| Machine Learning | Programming | Teaching | Intellectual Property |
|---|---|---|---|
| Deep Learning | Python | Statistics | Patent review |
| Generative Models | Tensorflow | Signal Processing | Patent writing |
| Airflow | SQL | Article writing |
Publications and Presentations
2019
| Maxime Baelde. "Modèles génératifs pour la classification et la séparation de sources sonores en temp-réel". Ph. D thesis, Université de Lille, 2019. | |
| Maxime Baelde, Christophe Biernacki and Raphaël Greff. "Real-Time monophonic and polyphonic audio classification from power spectra". In : Pattern Recognition 92 (august 2019), p. 82-92. [article] | |
| Nathan Souviraà-Labastie, Maxime Baelde, Thomas Malet and Raphaël Greff. Impact des conditions d'attaques sur les contre-mesures pour la reconnaissance du locuteur. pre-print Gretsi. [preprint] | |
| Maxime Baelde, Nathan Souviraà-Labastie and Raphaël Greff. Influence of the attack conditions on countermeasures for Automatic Speaker Verification. pre-print Interspeech. [preprint] |
2017
| Maxime Baelde, Christophe Biernacki, Raphaël Greff. Classification de signaux audio en temps-réel par un modèle de mélanges d’histogrammes. 49èmes Journées de Statistiques, June 2017, Avignon, France. [paper] | |
| Real-time source sources identification. Presentation at 7èmes Rencontres Jeunes Statisticiens, 5 April 2017, Porquerolles, France. | |
| Maxime Baelde, Christophe Biernacki, Raphaël Greff. A mixture model-based real-time audio sources classification method. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5-9 Mar 2017, pp. 2427-2431, New Orleans, USA. [paper], [poster] | |
| Real-time source sources identification. Presentation at Modal's Day on the first year of the thesis, 20 January 2017, Le Touquet, France. |
2016
| Real-time identification, localization and separation of audio sources in multichannel audio streams, at ReSci : Acoustique, musique, et production sonore humaine ou animale. Presentation at ANRT on the first 6 month of the thesis, 7 July 2016, Paris, France. | |
| Modélisation de spectres sonores par mélange de gaussiennes - Application à la reconnaissance de sources sonores. Presentation for MASSICCC demo, 7 April 2016, Villeneuve d'Ascq, France. |
2015
| Modélisation de filtres HRTF et optimisation pour le traitement de spatialisation sonore. Master thesis, 2015, Université Lille 1. [paper] |
2014
| Maxime Baelde, Jessica De Saedeleer, Jean-Pierre Hermand. Experiment to evaluate musical qualities of violin strings. October 2014, The Journal of the Acoustical Society of America, 136 (4), pp. 2284-2285. [abstract] |
Code
Here you will find some code I developped, available on Github.
| I implemented a GMM class that extends sklearn one to fit 1D binned data in this repository. |
Music
I have my own mixing / mastering engineer business called MB Prod.
Here you will find some music I produced with my solo music project Fracton.
| Fracton - Smooth Krimhinal, available December 1st, 2023. | |
| Fracton - Hephaestus' Wrath (JST Toneforge Riff Contest), available April 17th, 2023. | |
| Fracton - The Laws Of Robotics, available March 17th, 2023. | |
| The Pyloons - Reborn, available December 16th, 2022. |