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EASY LISTENING: Optimizing the consequences of effortful listening in occupational settings

CORDIS · observation · Publication date unknown

physiological and subjective measures in laboratory and real-life occupational conditions. With this approach, EASYLI aims to detect fatigue early, and examine how individualized interventions (e.g. machine learning-based speech enhancement algorithms, hearing aids) optimize listening value. EASYLI consists of 5 academic partners and 4 non-academic partners representing hearing-aid and communication systems industries, audiology, and occupational sectors with challenging acoustic environments. The EASYLI doctorate programme will train a new generation of leading entrepreneurial scientists, and will stimulate employment by developing tools that allow early identification and prevention of listening related fatigue and stress. Listening effort, Occupational settings, Communication systems, Physiological measures, EMA, Hearing difficulties, Hearing aids, Listening value

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recordType

award

status

SIGNED

region

EU

value

1677556.8

unit

EUR