Search Results for author: Dan Goodman

Found 2 papers, 0 papers with code

Learning Absolute Sound Source Localisation With Limited Supervisions

no code implementations28 Jan 2020 Yang Chu, Wayne Luk, Dan Goodman

By combining the unreliable innate response and the sparse reinforcement rewards, an accurate auditory space map, which is hard to be achieved by either one of these two kind of supervisions, can eventually be learned.

Learning to localise sounds with spiking neural networks

no code implementations NeurIPS 2010 Dan Goodman, Romain Brette

To localise the source of a sound, we use location-specific properties of the signals received at the two ears caused by the asymmetric filtering of the original sound by our head and pinnae, the head-related transfer functions (HRTFs).

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