| Title |
Activating accessible pedestrian signals by voice using keyword spotting systems |
| ID_Doc |
42744 |
| Authors |
Muhsinzoda, M; Corona, CC; Pelta, DA; Verdegay, JL |
| Title |
Activating accessible pedestrian signals by voice using keyword spotting systems |
| Year |
2019 |
| Published |
|
| DOI |
10.1109/isc246665.2019.9071684 |
| Abstract |
We describe the problem of partially sighted pedestrians who identify crossing the street as a difficult task. Pedestrian call buttons remain difficult to activate for partially sighted pedestrians. We believe that human-technology interfaces such as speech-related technologies can help to make this task easier. We propose a deep learning model for keyword spotting system where pedestrians can activate the pedestrian call button using their voice and thus enable them to cross the streets safely. |
| Author Keywords |
smart city; accessible pedestrian signals; keyword spotting |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000848525400087 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Green & Sustainable Science & Technology; Engineering, Multidisciplinary |
| Research Area |
Computer Science; Science & Technology - Other Topics; Engineering |
| PDF |
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