NDLI: Implementation and performance evaluation of continuous Hindi speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Kuamr, A. Dua, M. Choudhary, A.
Copyright Year	2014
Description	Author affiliation: Comput. Eng. Dept., Vishveshwarya Inst. of Tech., Noida, India (Choudhary, A.) \|\| Comput. Eng. Dept., Nat. Inst. of Technol., Kurukshetra, India (Kuamr, A.; Dua, M.)
Abstract	Speech to Text recognition is the ability of a machine to recognize the human speech and convert in to text sequence. In this paper, we compare the performance of isolated word, connected word, and continuous speech recognition system with different vocabulary sizes. Hidden Markov Model toolkit HTK 3.4.1 is used to develop the system. For feature extraction, Mel Frequency Cepstral Coefficient (MFCC) and Perceptual Linear Prediction (PLP) both are used in this paper. The aim of this paper is to build a high performance speech recognition system for Hindi language. Hidden Markov Model (HMM) and Gaussian Mixture Model (GMM) are used at the back-end of our proposed system. The system is trained for 100 Hindi words and each word 10 utterances have been recorded for training of the ASR system. The experimental result shows that the overall accuracy of proposed system with 100 word dictionary size is 95.40%, when we use the combination of MFCC and GMM for automatic speech recognition (ASR) system.
Starting Page	1
Ending Page	5
File Size	1218112
Page Count	5
File Format	PDF
e-ISBN	9781479923205
DOI	10.1109/ECS.2014.6892777
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-13
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training PLP Hidden Markov models GMM Continuous Hindi speech recognition Speech recognition Artificial neural networks Speech Dentistry Mel frequency cepstral coefficient MFCC Automatic Hindi speech recognition
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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