International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 118

Research Paper | Electronics & Communication Engineering | Bangladesh | Volume 2 Issue 8, August 2013


Isolated English Word Recognition System: Appropriate for Bengali-accented English

Tanjin Taher Toma, Abu Hasnat Md. Rubaiyat, A.H.M Asadul Huq


Abstract: Accents of English have been investigated for many years both from the perspective of native and non-native speakers of the language. Various research results imply that non-native speakers of English language produce certain speech characteristics which are uncommon in native speakers speech. This is because non-native speakers do not produce the same tongue movement as native speakers. This paper presents an isolated English word recognition system devised with the speech of local Bangladeshi people, who are also non-native speakers of English language. Here, we have also noticed a different speech characteristic which is not available within the speech of native English speakers. Two acoustic features, pitch and formants have been utilized to develop the system. The system is speaker-independent and stands on Template based approach. The recognition method applied here is very simple and the recognition accuracy is also very satisfactory.


Keywords: Isolated word recognition, Speaker-independent, Pitch, Formants, Template based approach


Edition: Volume 2 Issue 8, August 2013,


Pages: 60 - 66


How to Cite this Article?

Tanjin Taher Toma, Abu Hasnat Md. Rubaiyat, A.H.M Asadul Huq, "Isolated English Word Recognition System: Appropriate for Bengali-accented English", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=02013229, Volume 2 Issue 8, August 2013, 60 - 66

How to Share this Article?

Enter Your Email Address


Similar Articles with Keyword 'Pitch'

Downloads: 105

Research Paper, Electronics & Communication Engineering, India, Volume 4 Issue 12, December 2015

Pages: 1658 - 1660

Lifetime Improvement of Dynamic Under Water Acoustic Sensor Network

R. Sowbarani, M. Sivakumar

Share this Article

Downloads: 113

Dissertation Chapters, Electronics & Communication Engineering, India, Volume 3 Issue 12, December 2014

Pages: 288 - 292

An Opposition based Harmony Search Approach for Performance Improvement in Linear FIR Filter Design

Dharmendra, Nitin Jain

Share this Article

Similar Articles with Keyword 'Isolated'

Downloads: 113

Research Paper, Electronics & Communication Engineering, India, Volume 3 Issue 5, May 2014

Pages: 1230 - 1235

Realtime Character Translator

Girish B. Baviskar, P. M. Mahajan

Share this Article

Downloads: 125

Research Paper, Electronics & Communication Engineering, India, Volume 2 Issue 8, August 2013

Pages: 67 - 70

Isolated Kannada Character Recognition using Chain Code Features

H. Imran Khan, Smitha U. V, Suresh Kumar D. S

Share this Article

Similar Articles with Keyword 'word'

Downloads: 152

M.Tech / M.E / PhD Thesis, Electronics & Communication Engineering, India, Volume 4 Issue 3, March 2015

Pages: 130 - 134

Segmentation of Touching Characters in Indian Scripts

B. Hari Kumar, N. Sateesh

Share this Article

Downloads: 99

Research Paper, Electronics & Communication Engineering, India, Volume 6 Issue 2, February 2017

Pages: 2002 - 2006

Text-Dependent Speaker Identification and Verification Using Hindi Database in Adverse Acoustic Condition

Shrikant Upadhyay, Sudhir Kumar Sharma, Pawan Kumar, Aditi Upadhyay

Share this Article

Similar Articles with Keyword 'recognition'

Downloads: 152

M.Tech / M.E / PhD Thesis, Electronics & Communication Engineering, India, Volume 4 Issue 3, March 2015

Pages: 130 - 134

Segmentation of Touching Characters in Indian Scripts

B. Hari Kumar, N. Sateesh

Share this Article

Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Review Papers, Electronics & Communication Engineering, India, Volume 10 Issue 4, April 2021

Pages: 1349 - 1355

Review on CNN based Sign Language Recognition Methods

Akash Vijayan, Sajeena .A

Share this Article
Top