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