A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Activating accessible pedestrian signals by voice using keyword spotting systems
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.
Activating accessible pedestrian signals by voice using keyword spotting systems
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.
Activating accessible pedestrian signals by voice using keyword spotting systems
Muhsinzoda, Mirzodaler (author) / Corona, Carlos Cruz (author) / Pelta, David A. (author) / Verdegay, Jose Luis (author)
2019-10-01
380754 byte
Conference paper
Electronic Resource
English
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