DocumentCode :
1824724
Title :
iKnow Where You Are
Author :
Subbu, Kalyan ; Xu, Ning ; Dantu, Ram
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of North Texa, Denton, TX, USA
Volume :
4
fYear :
2009
fDate :
29-31 Aug. 2009
Firstpage :
469
Lastpage :
474
Abstract :
ldquoSmartrdquo phones, such as G1 and iPhone, have made their way into people´s lives with more intelligence owing to the continually decreasing cost and increasing access to memory capability, processing power and network bandwidth. This work attempts to detect presence in different environments like office, conference, meeting and traveling outdoors, using audio sensors on the G1 phone. Specifically, a two step process involving classifying the background first and then detecting the number of people in an environment is followed. Using the Vector Quantization method, audio is classified into five predefined classes. A recognition rate ranging from 86% to 100%for individual classes and 91%overall recognition accuracy was obtained. For speaker change detection via Bayesian Information Criterion, about 79.4% of all 350 test audio clips was correctly categorized.
Keywords :
Bayes methods; audio signal processing; mobile computing; signal classification; speaker recognition; vector quantisation; Bayesian information criterion; G1 phone; audio classification; audio sensors; background classification; iPhone; memory capability; network bandwidth; presence detection; processing power; smart phones; speaker change detection; speaker recognition; vector quantization; Acoustic signal detection; Bandwidth; Costs; Intelligent networks; Intelligent sensors; Layout; Loudspeakers; Smart phones; Speech; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering, 2009. CSE '09. International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-5334-4
Electronic_ISBN :
978-0-7695-3823-5
Type :
conf
DOI :
10.1109/CSE.2009.55
Filename :
5284201
Link To Document :
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