Obiettivo
The rapid advance in embedded digital signal processing technology has recently led to significantly enhanced hearing devices. Besides the very basic task of restoring loudness, modern hearing aids and cochlear implants feature a range of advanced processing capabilities such as beamforming microphone arrays, noise reduction and automatic controls. While some of these features have already resulted in improved performance, advanced approaches to signal enhancement, to auditory scene analysis and to signal reproduction strategies promise much improved user benefits. The application of advanced signal processing schemes in hearing instruments for the improved rehabilitation of hearing impaired users, however, requires close collaboration of researchers in digital signal processing, audiology and psychoacoustics. The ITN AUDIS will perform research and training in digital signal processing for applications in hearing instruments. The unique approach lies in the research and development of advanced statistical signal processing algorithms in the interdisciplinary area of audiology. This network thus reacts to the strong demand of hearing aid and cochlear implant companies for highly qualified researchers who are proficient in both the advanced signal processing methodologies and their application in the context of hearing instruments, and who are thoroughly familiar with user requirements in this domain. This network consists of 4 university and 2 industrial partners and associated partners. A key characteristic of this network is that all partners have substantial experience in interdisciplinary work and can thus provide exciting research opportunities to network fellows.
Campo scientifico (EuroSciVoc)
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP. Cfr.: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP. Cfr.: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- scienze mediche e della salutemedicina clinicafisioterapia
- ingegneria e tecnologiaingegneria elettrica, ingegneria elettronica, ingegneria informaticaingegneria elettronicaelaborazione del segnale
- scienze mediche e della salutescienze della salutemalattie infettivevirus a RNAHIV
- scienze mediche e della salutebiotecnologia medicaimpianti
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Parole chiave
Invito a presentare proposte
FP7-PEOPLE-2007-1-1-ITN
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Meccanismo di finanziamento
MC-ITN - Networks for Initial Training (ITN)Coordinatore
44801 Bochum
Germania