NDLI: Sound source identification for scene analysis

Content Provider	IEEE Xplore Digital Library
Author	Saltali, I. Ince, G. Sariel, S.
Copyright Year	2015
Description	Author affiliation: Bilgisayar Muhendisligi Bolumu, Istanbul Teknik Univ., Istanbul, Turkey (Saltali, I.; Ince, G.; Sariel, S.)
Abstract	The ability to recognize objects and events by interpreting sound signals is one of the fundamental qualities of human. The ability to categorize objects and events using auditory signals is extremely important, but it is a difficult task in robots. In this paper, different supervised learning methods using distinctive features from sound data were compared as part of a system for robots to clasify objects and events automatically using auditory features of environmental sound. Our experimental setting involved objects from different materials including glass, metal, porcelain, cardboard and plastic. We first analyzed the performance of the supervised learning methods with our proposed feature set on material categorization. Then, we investigated the performance of the learning methods for categorization of event outcomes. We used two different robotic platforms: a wheeled mobile robot and a 7-DOF robotic arm. The proposed system achieved over 91% success in classifying materials and events.
Starting Page	731
Ending Page	734
File Size	1204122
Page Count	4
File Format	PDF
ISBN	9781467373869
DOI	10.1109/SIU.2015.7129931
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-16
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Automation Conferences Supervised learning Metals category recognition sound analysis Congnitive robots Mobile robots classification sound processing
Content Type	Text
Resource Type	Article

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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