NDLI: Adaptive context recognition based on audio signal

Content Provider	IEEE Xplore Digital Library
Author	Zhi Zeng Xin Li Xiaohong Ma Qiang Ji
Copyright Year	2008
Description	Author affiliation: Rensselaer Polytech. Inst., Troy, NY (Zhi Zeng; Qiang Ji) \|\| Dalian Univ. of Technol., Dalian (Xin Li; Xiaohong Ma)
Abstract	Auditory data provide many contextual cues about the crucial content of environments around. The goal of audio based context recognition is to equip the sensing devices with classification algorithms that can automatically classify the environments into pre-defined classes according to the extracted auditory features. In this paper, we first extract various features from the audio signals. We then perform a feature analysis to identify a feature ensemble to optimally classify different contexts. To achieve an efficient and timely online classification, a coarse-to-fine training scheme is adopted, where for each context three HMMs are trained by feature ensembles of different complexities. During online recognition, we start with coarse HMMs (with fewest numbers of features) and progressively apply finer models if necessary. Experiments show that this strategy results in significant saving in computational power with only negligible lose in context recognition accuracy.
Starting Page	1
Ending Page	4
File Size	1102290
Page Count	4
File Format	PDF
ISBN	9781424421749
ISSN	10514651
DOI	10.1109/ICPR.2008.4761905
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Feature extraction Cepstral analysis Support vector machines Support vector machine classification Data mining Monitoring Mel frequency cepstral coefficient Recurrent neural networks Pattern recognition
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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