Acoustic Source Separation and Localization

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$749,956.00
Award Year:
2011
Program:
SBIR
Phase:
Phase II
Contract:
D11PC20163
Award Id:
n/a
Agency Tracking Number:
09SB2-0183
Solicitation Year:
2009
Solicitation Topic Code:
SB092-009
Solicitation Number:
2009.2
Small Business Information
1560 Sawgrass corporate parkway, 4th floor, Sunrise, FL, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
004458871
Principal Investigator:
Kevin Jones
Senior Research Scientist
(352) 214-3481
kevin@aventusoft.com
Business Contact:
Kaustubh Kale
MGRM
(954) 331-4691
kaustubh@aventusoft.com
Research Institution:
Stub




Abstract
The capability of separating and localizing intermixed sounds in an auditory scene, also known as auditory scene analysis is the ear"s ability to handle the cocktail party effect. There are no useful models that emulate this holy grail of auditory research. Fourier-type theory and computational auditory scene analysis (CASA) techniques do not fully explain how the biological ear is able to"hear everything and listen to anything"even under the most challenging environmental conditions. In Phase I, we showed the feasibility and performance of novel algorithms that introduce biologically plausible models for acoustic source separation and localization with the goal of developing technology that can hear as well as humans. In Phase II, we will extend the capabilities of these models further to develop a fully biologically plausible system that will model the physiological processes underlying the human auditory system"s ability for auditory scene analysis. The intellectual merits of BioHear technology include the development of a high-performance biologically plausible system in a single, low-power compact package that is easy-to-integrate, has low computational needs, a small microphone array footprint, and runs in real-time.

* information listed above is at the time of submission.

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