NDLI: Bangla phonetic feature table construction for automatic speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Hassan, F. Kotwal, M.R.A. Huda, M.N.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Eng., United Int. Univ., Dhaka, Bangladesh (Hassan, F.; Kotwal, M.R.A.; Huda, M.N.)
Abstract	This This research constructs a phonetic feature (PF) table for all the phonemes pronounced in Bangla (widely known as Bengali) language where the whole study is divided into two parts. In the first part, a PF table is constructed, while the second part deals with Bangla automatic speech recognition (ASR) using PFs. For Bangla language, fifty three phonemes including both vowels and consonants are considered in which the phones, k (/s/) and m (/s/), and, Y (/n/) and b (/n/) contain approximately same spectrum and hence, they share same PFs. In the PF table, twenty two PFs (Silence, Short Silence, Stop, ...) are required for representing all the Bangla phonemes. On the other hand, the second part comprised of three stages: i) first stage deals with acoustic features, mel frequency cepstral coefficients (MFCCs) extraction, ii) second stage embeds PFs extraction procedure using a multilayer neural network (MLN) and iii) the final stage integrates a triphone-based hidden Markov model (HMM) for generating the output text strings by inputting log values of twenty two dimensional PFs. In the experiments on Bangla Newspaper Article Sentences, it is observed that the PF-based ASR system provides higher word correct rate, word accuracy and sentence correct rate in comparison with the standard MFCC-based method.
Starting Page	51
Ending Page	55
File Size	911558
Page Count	5
File Format	PDF
e-ISBN	9781479934973
DOI	10.1109/ICCITechn.2014.6997376
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-08
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers hidden Markov model mel frequency cepstral coefficient Hidden Markov models Speech recognition phonetic feature Speech Feature extraction multilayer neural network automatic speech recognition Information technology Standards
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
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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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