Automatic matched filter recovery via the audio camera

The sound reaching the acoustic sensor in a realistic environment contains not only the part arriving directly from the sound source but also a number of environmental re ections. The effect of those on the sound is equivalent to a convolution with the room impulse response and can be undone via deconvolution – a technique known as matched lter processing. However, the lter is usually pre-computed in advance using known room geometry and source/receiver positions, and any deviations from those cause the performance to degrade signi cantly. In this work, an algorithm is proposed to compute the matched lter automatically using an audio camera – a microphone array based system that provides real-time audio images (essentially plots of steered response power in various directions) of environment. Acoustic sources, as well as their signi cant re ections, are revealed as peaks in the audio image. The re ections are associated with sound source(s) using an acoustic similarity metric, and...

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Adam O'Donovan, Ramani Duraiswami, Dmitry N. Zotkin
• Keywords: Audio Image, ICASSP 2010, Lter, Signal Processing, Sound Source