👋 Welcome to my website!

Keywords:
• Ecoacoustician Post-Doc (MNHN) 🌿🎧
• AI/Voice/Audio Researcher 🗣️🔊
• PhD in Computer Music (IRCAM) 💻🎵
• Optical Engineer (IOGS) 👨‍💻🔭
• Science Teacher 📚🎓
• Classical Guitar/Musical Choir 🎸🎤

Hello world! I am an engineer, scientist and researcher applying machine/deep learning techniques to the audio domain from voice sequences to natural soundscapes.

I am currently a post-doctoral research fellow in ecoacoustics at the Muséum National d’Histoire Naturelle (MNHN), working on automatic soundscape analysis with semi-supervised/unsupervised learning tools. I am also affiliated with the Sorbonne Center for Artificial Intelligence (SCAI), in charge of creating new teaching materials to promote artificial intelligence.

I hold a Ph.D. in voice processing and computer music from Ircam-Sorbonne Université with a research focused on temporal constraints for speech/singing voice alignment and transcription.

My work interests cover a broad range of audio applications including voice alignment, symbolic transcription, music information retrieval, bioacoustics and ecoacoustics, musicological musicology and, more generally, computer music.

I have teached tutorials, practical works and lectures in computer science, signal processing and optics in institutes such as Polytech Sorbonne, Sorbonne Université and ENS Louis Lumière.

Please feel free to reach out 🙂

📧

Yann TEYTAUT
yann.teytaut@mnhn.fr

🏛️

Muséum National d’Histoire Naturelle (MNHN)
Origines & Evolution
UMR 7205 ISYEB
45, Rue Buffon
75005, Paris

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Sorbonne Center for Artificial Intelligence (SCAI)
4, Place Jussieu
75005, Paris