NDLI: A survey on recent progress in the ASAT/SIRKUS paradigm

Content Provider	IEEE Xplore Digital Library
Author	Siniscalchi, S.M. Svendsen, T. Chin-Hui Lee
Copyright Year	2010
Description	Author affiliation: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA (Chin-Hui Lee) \|\| Department of Telematics, University of Enna “Kore”, Italy (Siniscalchi, S.M.) \|\| Department of Electronics and Telecommunications, NTNU, Trondheim, Norway (Svendsen, T.)
Abstract	Automatic Speech Attribute Transcription (ASAT), an ITR project sponsored under the NSF grant (IIS-04-27113), and Spoken Information Retrieval by Knowledge Utilization in Statistical Speech Processing (SIRKUS), a project funded by the VERDIKT programme at the Research Council of Norway, are two research projects carried out at Georgia Institute of Technology and at Norwegian University of Science and Technology, respectively, with the purpose of investigating and developing new paradigms for speech recognition that have the capability of bridging the gap between machine and human performance. These projects approach speech recognition from a more linguistic perspective: unlike traditional ASR systems, humans detect acoustic and auditory cues, weigh and combine them to form theories, and then process these cognitive hypotheses until linguistically and pragmatically consistent speech understanding is achieved. A major goal of the ASAT/SIRKUS paradigms is to develop a detection-based approach to automatic speech recognition (ASR) based on attribute detection and knowledge integration. We report on progress of these two projects on two different tasks, namely the cross-language and language universal attribute/phone recognition task, and the language identification (LID) task.
Starting Page	465
Ending Page	470
File Size	192857
Page Count	6
File Format	PDF
ISBN	9781424462445
e-ISBN	9781424462469
DOI	10.1109/ISCSLP.2010.5684480
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-29
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Accuracy Hidden Markov models Detectors Speech recognition Speech Acoustics
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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