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acoustic SCene ANalysis for Detecting Living Entities

Analysing fine motor activity in articulatory structures of humans or animals in combination with the sounds they emit yields information about their intentions and likely future actions. In this project we propose to develop a co... ver más

01/03/2012

UOP

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

UNIVERSITY OF PLYMOUTH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 5 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2012-03-01 No tenemos la información de la convocatoria

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

5 Participantes

UOP

0.00€ | Lider

HUN-REN RESEARCH CENTRE FOR...

N.D. | Participante

Uni Oldenburg

N.D. | Participante

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Líder del proyecto

UNIVERSITY OF PLYMOUTH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Analysing fine motor activity in articulatory structures of humans or animals in combination with the sounds they emit yields information about their intentions and likely future actions. In this project we propose to develop a cognitive acoustic scene analysis system that is able to synthesize composite representations of animate entities and their behaviour by integrating information from active and passive sound signatures; i.e. from actively self-generated (sonar) sounds and from passively received sounds emitted by those entities. The system is an acoustic analogy to a camera-based visual scene analysis system, particularly suited to detecting the presence and characterising the behaviour of living entities in the environment. This highly innovative proposal builds upon fundamental research on perceptual organisation in natural systems, recent advances in models of auditory processing, and technological developments in ultra-low power, distributed neuromorphic systems and state-of-the-art micro-sonar technology. The biologically inspired architecture and processing mechanisms of the proposed system support autonomous real-time context-dependent operation, allowing it to parse complex mixtures of sounds into meaningful units and categorise them. We propose novel methodologies for evaluating the emergence of representations in autonomous systems, and for communicating the ongoing internal state of the system to human observers. Work on the project will significantly advance scientific understanding of auditory perceptual organisation, technological developments in neuromorphic systems, and the potential impact of artificial cognitive systems. Successful achievement of our objectives will result in the development of a ground breaking proof-of-concept cognitive acoustic scene analysis system capable of robust operation in real-world environments and suitable for deployment in situations where visual information may be unavailable, unobtainable or even undesirable.

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