NDLI: Transition features for CRF-based speech recognition and boundary detection

Content Provider	IEEE Xplore Digital Library
Author	Dimopoulos, S. Fosler-Lussier, E. Chin-Hui Lee Potamianos, A.
Copyright Year	2009
Description	Author affiliation: Dept. of Computer Science and Engineering, 2015 Neil Avenue, Columbus, OH 43210-1277, USA (Fosler-Lussier, E.) \|\| Dept. of Electronics and Computer Engineering, Technical University of Crete, Chania 73100, Greece (Dimopoulos, S.; Potamianos, A.) \|\| School of Electrical and Computer Engineering, 777 Atlantic Drive NW, Atlanta, GA 30332-0250, USA (Chin-Hui Lee)
Abstract	In this paper, we investigate a variety of spectral and time domain features for explicitly modeling phonetic transitions in speech recognition. Specifically, spectral and energy distance metrics, as well as, time derivatives of phonological descriptors and MFCCs are employed. The features are integrated in an extended Conditional Random Fields statistical modeling framework that supports general-purpose transition models. For evaluation purposes, we measure both phonetic recognition task accuracy and precision/recall of boundary detection. Results show that when transition features are used in a CRF-based recognition framework, recognition performance improves significantly due to the reduction of phone deletions. The boundary detection performance also improves mainly for transitions among silence, stop, and fricative phonetic classes.
Starting Page	99
Ending Page	102
File Size	178737
Page Count	4
File Format	PDF
ISBN	9781424454785
DOI	10.1109/ASRU.2009.5373287
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-13
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition Hidden Markov models Frequency selective surfaces Data mining Probability Computer science Power engineering and energy Drives Energy measurement Speech synthesis
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
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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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