Open Access   Article Go Back

Phoneme based Dialect variation of Assamese Language

Bitopi Sharma1 , P.H. Talukdar2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-12 , Page no. 238-240, Dec-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i12.238240

Online published on Dec 31, 2018

Copyright © Bitopi Sharma, P.H. Talukdar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Bitopi Sharma, P.H. Talukdar, “Phoneme based Dialect variation of Assamese Language,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.238-240, 2018.

MLA Style Citation: Bitopi Sharma, P.H. Talukdar "Phoneme based Dialect variation of Assamese Language." International Journal of Computer Sciences and Engineering 6.12 (2018): 238-240.

APA Style Citation: Bitopi Sharma, P.H. Talukdar, (2018). Phoneme based Dialect variation of Assamese Language. International Journal of Computer Sciences and Engineering, 6(12), 238-240.

BibTex Style Citation:
@article{Sharma_2018,
author = {Bitopi Sharma, P.H. Talukdar},
title = {Phoneme based Dialect variation of Assamese Language},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {6},
Issue = {12},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {238-240},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3322},
doi = {https://doi.org/10.26438/ijcse/v6i12.238240}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i12.238240}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3322
TI - Phoneme based Dialect variation of Assamese Language
T2 - International Journal of Computer Sciences and Engineering
AU - Bitopi Sharma, P.H. Talukdar
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 238-240
IS - 12
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
470 367 downloads 239 downloads
  
  
           

Abstract

The Assamese language is broadly classified in three major eras viz- early Assamese period, middle Assamese and modern Assamese. Influence of Sanskrit and the Magadhi Prakrit is visible in the vocabulary of the language. Banikanta Kakati has broadly classified the Assamese language into two divisions –namely Eastern Assamese and Western Assamese. Understanding the difference in the phonology, play an important role in the development of emotional TTS. (MFCC) is most popular features of speech recognition. This is a feature of vocal tract. Here the variations on this process are observed using MFCC. MFCC plays an important role in identifying speakers.

Key-Words / Index Term

Dialect variation, Emotional TTS, G2P, MFCC

References

[1] Dr. Golukchandra Goswami, “Structure of Assamese”, Department of publication, Gauhati University, pp 25-32
[2] http://www.iitg.ernet.in/rcilts/pdf/assamese.pdf .P7.
[3] Dr. Pran Hari Talukdar, “Speech Production, Analysis and Coding Introduction to speech processing”, Lap Lambert Academic Publishing, pp36-64.
[4] Bhargab Medhi, Prof P. H. Talukdar, LPC and MFCC Analysis of Assamese Vowel Phonemes, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 1, January 2015 ISSN: 2277 128X,2015
[5] Md. Sahidullah , Goutam Saha, Design, analysis and experimental evaluation of block based transformation in MFCC computation for speaker recognition, Speech Communication 54 (2012) pp-543–565,2012
[6] Vibha Tiwari, MFCC and its applications in speaker recognition, International Journal on Emerging Technologies 1(1): 19-22(2010) ISSN : 0975-8364