Papers
2
Total Citations
21
H-Index
2
About
Nicolas Obin is a leading researcher at the intersection of audio signal processing, computational auditory scene analysis, and human-robot interaction. His most impactful contribution is the development of non-negative tensor factorization (NTF) for binaural sound source localization, a method that enables robust, sparse representation of multichannel audio in time, frequency, and space. This work, published in 2018 and garnering 19 citations, addresses the critical challenge of localizing multiple sound sources in realistic, unknown environments—a foundational problem for hearing aids, smart devices, and autonomous systems. Obin’s approach stands out for its ability to handle complex acoustic scenes without prior calibration, making it highly applicable to real-world settings. More recently, he has expanded his focus to vocal interactivity across species, exploring how communication signals are processed in humans, animals, and robots. This interdisciplinary work, presented at a 2023 international venue, underscores his commitment to bridging engineering and ethology. Obin’s research not only advances theoretical frameworks in audio factorization but also provides practical tools for next-generation auditory interfaces, solidifying his reputation as a key innovator in acoustic scene understanding.
Research Focus
Key Achievements
Top Papers
- 1
- 2Vocal interactivity in-and-between humans, animals and robots2 citations · 2023