SOURCE-LINKED INTELLIGENCE
Unlocking bio-inspired machine hearing and accelerating personalized hearing technologies
g damage. Diagnostic markers for early-onset hearing loss and personalized audio-processing solutions will be experimentally validated with human test subjects. By bridging auditory neuroscience and machine learning, InSilicoEars is advancing the next generation personalized hearables and audio technologies. These breakthroughs will enhance the accessibility and performance of audio applications, creating solutions customized to individual needs while expanding the capabilities of consumer electronics in complex, noisy environments. (Hearing-impaired) auditory modeling and speech processing. Auditory physiology methods for hearing diagnosis. Closed-loop and machine-learning methods for audio processing.
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1999712
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.