Abstract
A strategy for tactile hearing aids that is useful in detection of acoustic alarm signals is proposed. Through TIPS (for tactile identification of preclassified signals), a significant decrease in learning time and an improvement of recognition performance is achieved compared with currently used devices. Experimental results for different classification methods computed with a database of 200 alarm signals, and the performance of our wearable experimental device SIGNALON are presented. A unifying interpretation of the performance of the applied methods and some preliminary results for further improvements are given.
| Original language | English |
|---|---|
| Pages (from-to) | 2500-2503 |
| Number of pages | 4 |
| Journal | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
| State | Published - 1988 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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