# Mathieu Parvaix > Audio and Machine Learning for Augmented Reality @ Google Location: Cupertino, California, United States Profile: https://flows.cv/mathieuparvaix Algorithm developer in audio DSP, I am currently working in R&D with particular focus on digital signal processing and machine learning algorithms for speech enhancement, noise reduction and audio scene understanding in the telecom, IoT and augmented/mixed reality space. Specialties: Digital Signal Processing, speech and audio processing/analysis, data-driven speech enhancement, machine learning, audio event detection, classification and localization, source separation, auditory perception, deep learning, AR/XR. ## Work Experience ### Staff Machine Learning Software Engineer @ Google Jan 2021 – Present | Mountain View, California, United States ### Research Scientist @ X, the moonshot factory Jan 2020 – Jan 2021 | Mountain View, California, United States ### Lead Audio Signal Processing Engineer, Capture Analysis @ Magic Leap Jan 2018 – Jan 2020 Deep learning lead for Audio Algorithms team focusing on sound event detection and classification in AR/XR space. ### Principal Algorithm Engineer @ Knowles Intelligent Audio Jan 2018 – Jan 2018 | Mountain View, CA Single and multi-channel speech enhancement and audio scene analysis algorithms targeting IoT applications. • Designed and implemented algorithms mixing deep learning and conventional DSP for audio scene classification, noise/echo suppression and signal conditioning for voice commands (barge-in and ASR). • Built machine learning training framework using Python and TensorFlow (feature extraction, label creation, neural network training and testing). • Built exhaustive audio data sets to create realistic audio scenes for training and testing of machine learning algorithms. • Introduced objective quality metrics for human and machine listeners. • Developed data-driven noise suppression algorithms for multi-microphone systems for close and far-field mobile communications. ### Senior Staff Algorithm Developer @ Knowles Intelligent Audio Jan 2016 – Jan 2018 | Mountain View, CA ### Staff Algorithm Developer @ Knowles Intelligent Audio Jan 2015 – Jan 2016 | Mountain View, CA ### Senior Algorithm Developer @ Audience, Inc. Jan 2014 – Jan 2015 | Mountain View, CA Algorithms for audio processing, non-stationary noise suppression, multi-mic voice enhancement for human listener and to assist automatic speech recognition in close and far field scenarios. ### Algorithm Engineer @ Audience, Inc. Jan 2011 – Jan 2014 | Mountain View, CA Design, implementation and testing of DSP algorithms for voice quality enhancement in the area of mobile telecommunications. ### Algorithm Intern @ Audience, Inc. Jan 2010 – Jan 2011 | Mountain View, CA Developed an objective voice quality tool in MATLAB for the evaluation of speech communication systems that include noise suppression algorithm. • Creation of objective metrics for the evaluation of voice quality and noise suppression performances for single and multiple channel noise suppression algorithms. • Development included signal characterization, features extraction, psychoacoustic modeling and metric fusion as well as tool integration. • Participation in the preparation and analysis of multiple listening tests (ACR and P.835). ### Graduate Research Assistant @ Grenoble Institute of Technology Jan 2007 – Jan 2010 | Grenoble, France As a member of the Speech and Cognition department at the GIPSA-lab (Grenoble Image Speech Signal Automatics Lab), my doctoral dissertation titled “Informed source separation of audio signal by digital watermarking” offered an innovative combination of source separation and watermarking techniques to solve severely underdetermined problems of source separation for linear mixtures of musical sources. This work was the starting point of a technology transfer in collaboration with the ENST (Paris) and the LABRI (Bordeaux) within the national project DReaM (Disk Revisited for the Active Listening of Music). ### Teaching assistant @ University of Joseph Fourier (IUT1 Networks and Telecoms), Grenoble Jan 2007 – Jan 2010 | Grenoble, France Assisted with courses on Mathematics, including algebra, trigonometry, and differential equations. Tasks included creating and carrying weekly laboratory sections, as well as creating and grading of homework and exams. ### Research Assistant @ Ryerson University Jan 2007 – Jan 2007 | Toronto, Canada As a member of the Multimedia Information and Signal Analysis Research group, under the supervision of Pr. Sri Krishnan, developed in MATLAB a digital watermarking algorithm for the Digital Right Management of audio signals combining a Molecular Matching Pursuit-type decomposition algorithm and a psycho-acoustic model. (part of M.Sc. EE) ### Technical intern @ Legrand Inc. Jan 2005 – Jan 2005 | Limoges, France Various work on optimization and control of automatic assembly lines for the production of low-power electrical accessories. ## Education ### Doctor of Philosophy (Ph.D.) in Electrical Engineering Grenoble INP - UGA ### Master of Science (M.Sc.) in Electrical Engineering (Major in Signal Processing) Grenoble INP - UGA ### Classes préparatoires in Mathematics and Physics. CPGE Lycée Pothier ## Contact & Social - LinkedIn: https://linkedin.com/in/mathieuparvaix - Portfolio: http://www.gipsa-lab.inpg.fr/~mathieu.parvaix --- Source: https://flows.cv/mathieuparvaix JSON Resume: https://flows.cv/mathieuparvaix/resume.json Last updated: 2026-04-12