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Humans are
able, to a certain extent, to determine the location of a sound
source and to use this information to focus on a person speech while
ignoring the ambient noise.
Similarly,
microphones arrays enable to locate sounds and filter them depending
of their incoming direction. Unlike light, that propagates too fast
to record travel times easily, time difference of arrival (TDOA) of a
same sound recorded by two different microphones can be computed
directly and used to detect the origin of a sound.Though
microphone arrays are known since the 20s for military applications
(aircraft detection, artillery localization), the tremendous increase
in computational power as well as the miniaturization of microphones
have opened new theories and algorithms – precise sound source
localization through deconvolution, ambient noise filtering – and
new areas of uses: sound filtering in telecommunications (laptops, smart-phones), industrial applications (optimization of airplanes
design to reduce noise emission).
Meanwhile,
widely spread arrays are nowadays limited to 2, 3 or 4 microphones
and are unable to deal with complex situations like multiple
speakers, room reverberation or diffraction due to large wavelength
of audible sound waves.
In this project, a microphone array with a large number of elements has been built together with a fast middleware architecture that is able to record and stream sounds from 64 sources with low latency. Together with a standard optical camera, the array is able to compute an acoustic image of a scene and to superpose it with the optical image, in real-time.
Microphone arrays can not only localize sound sources but also amplify selectively one source and cancel out the others. The sound quality can be dramatically improved compared to single microphone recordings. This type of processing can be used to design smart hearing aids that automatically amplify an interesting sound source, for example the voice of your interlocutor, without amplifying background noise.
This project
is supported by a Pioneer Fellowship.
You are interested to participate in the development of the next generation hearing aid? You want to know more about the capabilities of a microphone array? Do not hesitate to contact us!
We are recruiting a signal processing expert (MSc/PhD level). Contact us for more information.
If you are a student and are looking for a semester project/master thesis or a paid job, please have a look below or directly contact us if you have an other exciting idea.
Come with your own ideas or choose a subject in the list below:
[MA] Software development of a smart hearing aids
[MA] Hardware development of a smart hearing aids
[SA] Real-time interface of an acoustic camera on a tablet
Apr-Aug 2012 - M. Chareton - "Localizing sound sources using multiple microphone arrays". Award: Prix du stage de recherche 2012, École polytechnique, France
Apr-Aug 2012 - S. Humeau - "Study of the effect of near field scratching noises on a microphone array"
Last update: 15/01/2013
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