NDLI: Arabic automatic segmentation system and its application for Arabic speech recognition system

Content Provider	IEEE Xplore Digital Library
Author	Nofal, M. Abdel Kader, N.S. Abdel-Raheem, E. El Henawy, M.
Copyright Year	2004
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Ain Shams Univ., Cairo (Nofal, M.; Abdel Kader, N.S.)
Abstract	The paper presents an Arabic automatic segmentation system to be utilized in the development of an Arabic speech recognition system. The automatic segmentation system is used to label a speech database system that is used in the training of continuous, phoneme based speaker independent Hidden Markov Models. Our experiments showed that 7.8 % of the phoneme boundaries of automatic segmented data deviate from those that were manually segmented more than 30 milliseconds while 0.78 % deviate more than 70 milliseconds. Our experiments showed also that automatic segmentation led to improvement in speech recognition accuracy of 0.49 % for a 306 words bigram language model test and 0.14% for 1340 words bigram model
Sponsorship	IEEE Circuits and Syst. Soc. Arab Acad. for Sci. Technol. and Maritime Transport
Starting Page	697
Ending Page	700
File Size	1298447
Page Count	4
File Format	PDF
ISBN	0780382943
ISSN	15483746
DOI	10.1109/MWSCAS.2003.1562382
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-27
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition Labeling Loudspeakers Cepstral analysis Database systems Hidden Markov models Natural languages Automatic testing Acoustic signal detection Viterbi algorithm
Content Type	Text
Resource Type	Article
Subject	Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering

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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
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