SPOTFORMING

Speech and Audio Capture in Adverse Environments

Coordinatore	IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE    more  Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD city: LONDON postcode: SW7 2AZ contact info Titolo: Mr. Nome: Shaun Cognome: Power Email: send email Telefono: +44 0 2075948773 Fax: +44 0 2075948609
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	182˙484 €
EC contributo	182˙484 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-IEF-2008
Funding Scheme	MC-IEF
Anno di inizio	2010
Periodo (anno-mese-giorno)	2010-02-01   -   2010-10-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE  Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD city: LONDON postcode: SW7 2AZ contact info Titolo: Mr. Nome: Shaun Cognome: Power Email: send email Telefono: +44 0 2075948773 Fax: +44 0 2075948609	UK (LONDON)	coordinator	182˙484.78

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 Obiettivo del progetto (Objective)

'The acquisition and localization of desired sounds is essential in a broad range of acoustical applications, such as surveillance, security monitoring, heath-care monitoring, video-conferencing systems. The desired sounds that are received by an acoustic sensor are degraded by room reverberation, background noise, and other interferences. This degradation may lead to total unintelligibility of the desired sounds (speech and audio) and decreases the performance of automatic speech recognition systems. Therefore, Acoustic Signal Processing (ASP) techniques that capture desired sounds or their source locations from low-quality signals are of major importance. While state-of-the-art ASP algorithms are able to reduce noise, the development of practical algorithms that can eliminate the degradations caused by reverberation in a noisy environment have not yet emerged. Furthermore, it should be noted that many, if not all, existing ASP techniques fail completely or experience a dramatically reduced performance when noise and reverberation are present. The main objective of this project is to develop advanced ASP algorithms that will allow the capture of desired sounds and their source locations in strongly adverse environments. We anticipate that this objective can be achieved by using distributed acoustic sensors and sensor arrays that measure the sound pressure, as well as the particle velocity. In addition, we propose to exploit statistical room acoustic theory in the development of advanced ASP algorithms.'