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Abstract
This paper presents an audio-based early warning system which helps to protect the safety of people with hearing impairment. The work is implemented on Android platform with a human-machine interface APP rendering. The prediction model will identify the result and send it to the device interface in order to alert the user. The experimental results showed that the accuracy of the system is 66.4% for eight class classification, including vehicle approaching events and some environmental sound on the road.
Original language | English |
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Title of host publication | 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 933-936 |
Number of pages | 4 |
ISBN (Electronic) | 9781728135755 |
DOIs | |
State | Published - Oct 2019 |
Event | 8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan Duration: 15 Oct 2019 → 18 Oct 2019 |
Publication series
Name | 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019 |
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Conference
Conference | 8th IEEE Global Conference on Consumer Electronics, GCCE 2019 |
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Country/Territory | Japan |
City | Osaka |
Period | 15/10/19 → 18/10/19 |
Keywords
- Android application
- Audio detection
- Machine learning
- Warning
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- 1 Finished
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Deep Intelligence Based Spoken Language Processing( II )
Wang, J.-C. (PI)
1/01/19 → 31/12/19
Project: Research