NDLI: Automatic error region detection and characterization in LVCSR transcriptions of TV news shows

Content Provider	IEEE Xplore Digital Library
Author	Dufour, R. Damnati, G. Charlet, D.
Copyright Year	2012
Description	Author affiliation: Orange Labs, France Telecom, Lannion (France) (Dufour, R.; Damnati, G.; Charlet, D.)
Abstract	This paper addresses the issue of error region detection and characterization in LVCSR transcriptions. It is a well-known phenomenon that errors are not independent and tend to co-occur in automatic transcriptions. We are interested in automatically detecting these so-called error regions. Additionally, in the context of information extraction in TVBN shows, being able to automatically characterize detected error regions is a crucial step towards the definition of suitable recovery strategies. In this paper we propose to classify error regions in four classes with a particular focus on errors on person names. We propose several sequential detection + classification approaches and an integrated sequence labeling approach. We show that our best classification system can reach 70% classification accuracy on automatically detected error regions. Additionally, the overall system is able to detect and correctly characterize 29.6% of error region corresponding to a person name with a precision of 61.9%.
Starting Page	4445
Ending Page	4448
File Size	123510
Page Count	4
File Format	PDF
ISBN	9781467300452
ISSN	15206149
e-ISBN	9781467300469
e-ISBN	9781467300445
DOI	10.1109/ICASSP.2012.6288906
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Labeling Speech Context Speech recognition Accuracy Information retrieval Focusing LVCSR Error region detection Error characterization Automatic classification
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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