Abstract
A hearing aid, worn in or around a wearer's ear, is an electroacoustic device to block noise and enhance target sound signal for the wearer. However, there is no method in traditional hearing aids that can automatically separate noise from a received signal mixture. Especially when the backing round is complex, amplified sound by a traditional hearing aid is still a multi-source mixture, and its wearer could not extract the target sound as expected. In this paper, a smart hearing aid system is proposed, consisting of an acoustic property modeling module, an acoustic source separation module and a target source recognition module. The proposed solution can automatically separate an acoustic source and thus enhance the target speaker's sound and filter the other sounds. Experiments with three sources has been conducted and the results show the feasibility and validity of our intelligent hearing aid.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 55-58 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781479953875 |
| DOIs | |
| State | Published - 18 Nov 2014 |
| Externally published | Yes |
| Event | 2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2014 - Hong Kong, China Duration: 25 Aug 2014 → 26 Aug 2014 |
Publication series
| Name | Proceedings - 2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2014 |
|---|
Conference
| Conference | 2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2014 |
|---|---|
| Country/Territory | China |
| City | Hong Kong |
| Period | 25/08/14 → 26/08/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Intelligent hearing aid
- acoustic property modeling
- acoustic separation
- speaker recognition
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