@inproceedings{6f07e8ec3170485f8d76d1c1a1524aae,
title = "Wake-up-word detection for robots using spatial eigenspace consistency and resonant curve similarity",
abstract = "In this paper, we propose a method to detect the wake-up-word (WUW) using microphone array for human-robot interaction. The consistency of the spatial eigenspaces formed by the speech source at different frequencies and the resonant curve similarity of the WUW are used as the features for detection. These features are processed and detected separately and the result is determined by cascading individual outcome using Bayes risk detector. This proposed method can keep a high recognition rate under very low signal-to-noise ratio (SNR) conditions. In addition, this method can estimate the direction of arrivals of the sound source, and the proposed architecture is easy to expand by adding detectors with other features in the cascaded manner to further improve the recognition rate.",
author = "Jwu-Sheng Hu and Lee, {Ming Tang} and Wang, {Ting Chao}",
year = "2011",
month = dec,
day = "1",
doi = "10.1109/ICRA.2011.5979722",
language = "English",
isbn = "9781612843865",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
pages = "3901--3906",
booktitle = "2011 IEEE International Conference on Robotics and Automation, ICRA 2011",
note = "null ; Conference date: 09-05-2011 Through 13-05-2011",
}