Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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 (Autor:in) / Corona, Carlos Cruz (Autor:in) / Pelta, David A. (Autor:in) / Verdegay, Jose Luis (Autor:in)
01.10.2019
380754 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Accessible Pedestrian Signals: Effect of Device Features
British Library Online Contents | 2006
|Field Comparison of Two Types of Accessible Pedestrian Signals
British Library Online Contents | 2005
|Accessible Pedestrian Signals at Complex Intersections: Effects on Blind Pedestrians
British Library Online Contents | 2008
|