NDLI: A preliminary speech learning tool for improvement of African English accents

Content Provider	IEEE Xplore Digital Library
Author	Oyo, B. Kalema, B.
Copyright Year	2014
Description	Author affiliation: Tshwane Univ. of Technol., Pretoria, South Africa (Oyo, B.; Kalema, B.)
Abstract	Speech recognition systems emphasise: accent recognition, recognition system performance through calculation of word error rate (WER), pronunciation modelling, speech-based interactions (tone, pitch, volume, background noise, speaker's gender and age, speaking speed and quality of recording equipment) and speech database solutions. However, research into the use of speech recognition systems for improvement accents is scarcely available. In this paper, we focus on development of an speech recognition system for recognizing African English accents and enabling the speakers improve their English accents. This is achieved by using a dual speech recognition engine: the first, a multiple accent recogniser receives African English speech input, classifies it and sends to the second recogniser that evaluates the speech against standard English pronunciations. Speech deviations from standard English pronunciations are captured and read by the system as a way of supporting the learner to improve his/her reading proficiency. Preliminary tests indicate that terminologies that are rarely used in ordinary conversations (e.g. enthusiasm, exuberant, vague, etc) are most poorly pronounced irrespective of the educational level of the reader.
Starting Page	44
Ending Page	48
File Size	295871
Page Count	5
File Format	PDF
e-ISBN	9781479962488
DOI	10.1109/ICETC.2014.6998900
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-22
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dictionaries Hidden Markov models Speech recognition Africa Acoustic model Speech African English Acoustics Standards Speaker clustering
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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