NDLI: Localising speech, footsteps and other sounds using resource-constrained devices

Content Provider	IEEE Xplore Digital Library
Author	Yukang Guo Hazas, M.
Copyright Year	2011
Description	Author affiliation: School of Computing and Communications, Lancaster University, UK (Yukang Guo; Hazas, M.)
Abstract	While a number of acoustic localisation systems have been proposed over the last few decades, these have typically either relied on expensive dedicated microphone arrays and workstation-class processing, or have been developed to detect a very specific type of sound in a particular scenario. However, as people live and work indoors, they generate a wide variety of sounds as they interact and move about. These human-generated sounds can be used to infer the positions of people, without requiring them to wear trackable tags. In this paper, we take a practical yet general approach to localising a number of human-generated sounds. Drawing from signal processing literature, we identify methods for resource-constrained devices in a sensor network to detect, classify and locate acoustic events such as speech, footsteps and objects being placed onto tables. We evaluate the classification and time-of-arrival estimation algorithms using a data set of human-generated sounds we captured with sensor nodes in a controlled setting. We show that despite the variety and complexity of the sounds, their localisation is feasible for sensor networks, with typical accuracies of a half metre or better. We specifically discuss the processing and networking considerations, and explore the performance trade-offs which can be made to further conserve resources.
Starting Page	330
Ending Page	341
File Size	649507
Page Count	12
File Format	PDF
ISBN	9781612848549
e-ISBN	9781450305129
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Algorithm design and analysis Design Measurement Noise Estimation General Terms-Algorithms Feature extraction Speech Experimentation Acoustics Performance Microphones
Content Type	Text
Resource Type	Article

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