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Raphael Chottin

@raphaelchottin

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Aeroacoustics researcher at LEGI who developed a speech f0 estimation algorithm and an 83%-accurate classifier.

France

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What I'm looking for

I'm looking for opportunities in audio/speech signal processing, particularly in the audio industry and speech technology sector in Europe.

At LEGI Grenoble, I led an experimental research program on voice production, from designing vocal fold replicas and acquiring data through signal analysis and publication.

I designed and validated the β-YIN fundamental frequency estimation algorithm on experimental and pathological speech data. I also built a signal-processing classifier that achieved 83% accuracy on real speech data and was published in JASA.

In another study, I examined aeroacoustic source interactions across 63 experimental configurations, applying nonlinear time series analysis, including RQA and Lyapunov exponents.

Before my PhD, I worked on statistical modeling of speech at Leibniz Universität Hannover and acoustic source localization at Czech Technical University, Prague. I use Python, MATLAB, and LaTeX.

Experience

Work history, roles, and key accomplishments

PhD Candidate

LEGI Grenoble

Oct 2022 - Jun 2026 (3 years 8 months)

Study of the physical mechanisms behind voice production — combining vocal fold replicas, aeroacoustic modeling, and signal processing methods to analyze speech signals.

- Led an experimental research program on voice production, from replica design and data acquisition through nonlinear signal analysis and publication.
- Designed and validated a novel fundamental frequency (f0) estimation algori