Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Inria (French Institute for Research in Computer Science and Automation)

Binaural Hearing for Robots

Inria (French Institute for Research in Computer Science and Automation) via France Université Numerique

This course may be unavailable.


« Ce cours est disponible en mode « Archivé ou » : il n'y a pas d'animation de l'équipe pédagogique (pas de forum ni d’exercice noté comme les quiz) et le cours ne délivre aucune attestation de suivi avec succès ni de certificat. Toutefois, vous pouvez sans limitation accéder aux vidéos et ressources textuel Ce mode de diffusion vous permet donc, en attendant l’ouverture d’une future « session animée », de vous former en ayant un accès aux contenus principaux. »

About This Course

Robots have gradually moved from factory floors to populated areas. Therefore, there is a crucial need to endow robots with perceptual and interaction skills enabling them to communicate with people in the most natural way. With auditory signals distinctively characterizing physical environments and speech being the most effective means of communication among people, robots must be able to fully extract the rich auditory information from their environment.

This course will address fundamental issues in robot hearing; it will describe methodologies requiring two or more microphones embedded into a robot head, thus enabling sound-source localization, sound-source separation, and fusion of auditory and visual information.

The course will start by briefly describing the role of hearing in human-robot interaction, overviewing the human binaural system, and introducing the computational auditory scene analysis paradigm. Then, it will describe in detail sound propagation models, audio signal processing techniques, geometric models for source localization, and unsupervised and supervised machine learning techniques for characterizing binaural hearing, fusing acoustic and visual data, and designing practical algorithms. The course will be illustrated with numerous videos shot in the author’s laboratory.

Taught by

Radu Horaud


Start your review of Binaural Hearing for Robots

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.