Explore the words cloud of the TIMPANI project. It provides you a very rough idea of what is the project "TIMPANI" about.
The following table provides information about the project.
Coordinator |
CARL VON OSSIETZKY UNIVERSITAET OLDENBURG
Organization address contact info |
Coordinator Country | Germany [DE] |
Total cost | 171˙460 € |
EC max contribution | 171˙460 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2016 |
Funding Scheme | MSCA-IF-EF-RI |
Starting year | 2018 |
Duration (year-month-day) | from 2018-09-01 to 2020-08-31 |
Take a look of project's partnership.
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1 | CARL VON OSSIETZKY UNIVERSITAET OLDENBURG | DE (OLDENBURG) | coordinator | 171˙460.00 |
In both speech and music perception, the auditory system decomposes sounds that overlap in time and frequency into distinct perceptual events and streams, which is referred to as auditory scene analysis (ASA). Hearing-impaired listeners suffer from severely compromised ASA, as illustrated by their immense difficulties to understand speech in noisy environments. Although the central role of ASA in shaping the experience of music is widely acknowledged—perceptually organizing sounds from multiple instruments or voices into melody and accompaniment, for instance—the role of hearing loss in musical scene perception remains largely unexplored. At the same time, hearing aids are typically designed for speech perception, not for music perception. Adopting a transdisciplinary approach that employs methods from music perception, auditory modelling, and signal processing, this Marie SkÅ‚odowska-Curie Action aims to Test, Predict, and Improve Musical Scene Perception of Hearing-Impaired Listeners (TIMPANI). Firstly, a series of music perception tasks will be designed to assess the effects of hearing loss on musical scene perception abilities. Secondly, an auditory model will be developed in order to predict normal and hearing-impaired listeners’ performance in ASA tasks. Finally, algorithms for scene-aware music mixing will be developed for improved music perception of hearing aid users. This research is timely and addresses the H2020 challenges to improve demographic change and wellbeing in European societies: The rise of hearing loss calls for scientific and technological breakthroughs in order to include hearing-impaired individuals in the cultural resource of music listening and making.
year | authors and title | journal | last update |
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2019 |
Kai Siedenburg, Marc René Schädler, David Hülsmeier Modeling the onset advantage in musical instrument recognition published pages: EL523-EL529, ISSN: 0001-4966, DOI: 10.1121/1.5141369 |
The Journal of the Acoustical Society of America 146/6 | 2020-02-12 |
2019 |
Kai Siedenburg Specifying the perceptual relevance of onset transients for musical instrument identification published pages: 1078-1087, ISSN: 0001-4966, DOI: 10.1121/1.5091778 |
The Journal of the Acoustical Society of America 145/2 | 2020-02-12 |
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