Simon Leglaive
@simonleglaive
Assistant Professor at CentraleSupélec in Rennes, France.
Signal processing and machine learning for audio.
ID: 2796314946
https://sleglaive.github.io 07-09-2014 17:45:55
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Open PhD position at GIPSA-lab "Automatic prediction on intonation from speech gestures, application to voice substitution". ML+real-time systems+experiments+speech science! tinyurl.com/mv44h7rx RT appreciated ! #silentpitch CNRS Sciences informatiques @GrenobleINP Université Grenoble Alpes
We're organizing a special issue at Computer Speech & Language about Multi-Speaker, Multi-Microphone, and Multi-Modal Distant Speech Recognition. Deadline: December 2, 2024 sciencedirect.com/journal/comput… CHiME Challenge
Great piece of work led by François Rozet in which we revisit the good old EM algorithm to learn diffusion models from corrupted data only. Bonus: This also includes a new posterior sampling scheme for diffusion models!
In my keynote at ISMIR Conference yesterday I played video messages from musicians asking the assembled AI researchers not to train on their music without their consent. It’s testament to the respect the ISMIR community has for musicians that the reaction was overwhelmingly positive.
PESTO 2.0 è rilasciato! 🥳🥳🥳 With Brazilian chef Bernardo Torres (and others), we revisit this traditional italian sauce, invented in Milan at ISMIR Conference 2023 🇮🇹 And you can taste it in REAL-TIME at home (~5 ms latency) ⏱️ 1/6
CHiME Challenge ⭐⭐ We are happy to announce the release of the tasks for the 9th CHiME Speech Separation and Recognition Challenge (CHiME-9). ⚡⚡ Please visit the CHiME Challenge website for details chimechallenge.org ⚡⚡
New video on the details of diffusion models: youtu.be/iv-5mZ_9CPY Produced by Welch Labs, this is the first in a small series of 3b1b this summer. I enjoyed providing editorial feedback throughout the last several months, and couldn't be happier with the result.
🚨 Open PhD Position (fully funded) – Grenoble, France Join us at GIPSA-lab (CNRS 🌍, Université Grenoble Alpes collab. RobotLearn Research Team @ Inria Grenoble) to explore how Speech Language Models can learn like children: through physical and social interaction🧠🤖🎙️ Details 👉 tinyurl.com/bde988b3