@inproceedings{41df50f0007f45e6aef4bd5c8b316c66,
title = "Demo abstract: Online detection of speaking from respiratory measurements collected in the natural environment",
abstract = "We present a novel method to detect when a person is speaking using respiratory measurements collected in the natural environment. A speaker's respiration pattern is sampled from a respiratory inductive plethysmograph (RIP) band worn around the speaker's chest. Ratio of inhalation duration to exhalation duration (IE ratio) has traditionally been used to detect speaking in controlled lab environment [7]. However, we find that IE ratio is inadequate in the natural environment. We propose several new features to be used along with IE ratio. Using various statistics over these features, we obtain >95% accuracy in classifying respiration measurements into {"}speaking{"} or {"}silence{"} states with 10-fold cross validation. Our demonstration will show realtime capture of the respiration signal, computation of features, and detection of speaking and silence, all on a mobile smartphone.",
keywords = "Respiration signal, speaking detection",
author = "Rahman, {Md Mahbubur} and Ali, {Amin Ahsan} and Andrew Raij and Mustafa Al'Absi and Emre Ertin and Santosh Kumar",
year = "2011",
language = "English (US)",
isbn = "9781612848549",
series = "Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11",
pages = "137--138",
booktitle = "Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11",
note = "10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11 ; Conference date: 12-04-2011 Through 14-04-2011",
}