NDLI: Is Phoneme Level Better than Word Level for HMM Models in Limited Vocabulary ASR Systems?

Content Provider	IEEE Xplore Digital Library
Author	Alotaibi, Y.A.
Copyright Year	2010
Abstract	In this paper Arabic alphadigits were investigated from the speech recognition problem point of view. Limited vocabulary Arabic Automatic Speech Recognition Systems (ASRs) were designed, implemented, and tested by using isolated word utterances which consists of Arabic alphabets and/or digits. These systems were implemented separately by using phoneme level and word level based HMM models in distinct systems. The systems were isolated word speech recognizers with a database with size of 16,200 tokens in total that was created depending on 67 Arabic native speakers. Experiment were designed and investigated with different HMM models and different levels of viewing the sound units. Phoneme level and word level models were compared along with Arabic digits alone, alphabets alone, and, then, with both digits and alphabet. In all cases the whole system accuracies and individual utterance accuracies were generated and compared. This research showed that the phoneme level HMM models are superior for limited vocabulary ASR.
Starting Page	332
Ending Page	337
File Size	291487
Page Count	6
File Format	PDF
ISBN	9781424462704
e-ISBN	9781424462711
DOI	10.1109/ITNG.2010.73
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Shape Natural languages Educational institutions HMM Information technology Automatic speech recognition Arabic Alphadigits Hidden Markov models Speech recognition Writing Speech Recognition Testing
Content Type	Text
Resource Type	Article

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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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