We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Different Methods Review for Speech to Text and Text to Speech Conversion

by Deep Kothadiya, Nitin Pise, Mangesh Bedekar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 20
Year of Publication: 2020
Authors: Deep Kothadiya, Nitin Pise, Mangesh Bedekar
10.5120/ijca2020920727

Deep Kothadiya, Nitin Pise, Mangesh Bedekar . Different Methods Review for Speech to Text and Text to Speech Conversion. International Journal of Computer Applications. 175, 20 ( Sep 2020), 9-12. DOI=10.5120/ijca2020920727

@article{ 10.5120/ijca2020920727,
author = { Deep Kothadiya, Nitin Pise, Mangesh Bedekar },
title = { Different Methods Review for Speech to Text and Text to Speech Conversion },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2020 },
volume = { 175 },
number = { 20 },
month = { Sep },
year = { 2020 },
issn = { 0975-8887 },
pages = { 9-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number20/31567-2020920727/ },
doi = { 10.5120/ijca2020920727 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:25:34.275751+05:30
%A Deep Kothadiya
%A Nitin Pise
%A Mangesh Bedekar
%T Different Methods Review for Speech to Text and Text to Speech Conversion
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 20
%P 9-12
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the instant corporation, transmission is the primary fundamental to momentum. Transitory information, to the correct person with the correct aspect is very essential, not just on an industry level, but also on an individual position. Nature is inspiring in the direction of digitization and the mechanisms of intercommunication. Telephone calling, e-mails, text memorandums belong to a fundamental element of signal communication in this tech-intellect nature. In procedures to distribute the intention of adequate transmission intervening two endpoints without obstacles, numerous utilizations have shown up the impression, which operates as an intermediary and helps in efficiently transmitting signals in the scheme of text or speech messages accomplished huge structure of webs. Most of these implementations discover the Usage of tasks essentially articulatory and acoustic-positioned speech recognition, reorganization from audio messages to text, and then text to artificial speech signals, vocabulary interpretation amidst individual leftovers. Researchers will be penetrating distinct algorithms and techniques that are enforced to obtain the specified utilitarian.

References
  1. K. Dutta and K. K. Sarma, “Multiple Feature Extraction for RNN-based Assamese Speech Recognition for Speech to Text Conversion Application”, International Conference on Communications, Devices and Intelligent Systems (CODIS), IEEE, 2012.
  2. F. Seide, G. Li, D. Yu,Conversational Speech Transcription Using Context-Dependent Deep Neural Networks, In Interspeech, pp. 437440, 2011.
  3. y Keiichi Tokuda, Yoshihiko Nankaku, Tomoki Toda, Heiga Zen, Speech Synthesis Based on Hidden Markov Models, Proceedings of the IEEE — Vol. 101, No. 5, May 2013. Junichi Yamagishi, Member IEEE, and Keiichiro Oura
  4. Mathias De Wachter, Mike Matton, Kris Demuynck, Patrick Wambacq, Template Based Continuous Speech Recognition,IEEE Transs. On Audio, Speech Language Processing, vol.15, issue 4,pp 1377-1390, May 2007.
  5. Lawrence Rabiner, Biing-Hwang Juang, B.Yegnanarayana, Fundamentals of Speech Recognition.
  6. Ms. Anuja Jadhav, Prof. Arvind Patil, Real Time Speech to Text Con- verter for Mobile Users, National Conference on Innovative Paradigms in Engineering Technology (NCIPET-2012) Proceedings published by International Journal of Computer Applications (IJCA)
  7. Sunanda Mendiratta, Dr. Neelam Turk, Dr. Dipali Bansal, Speech Recognition by Cuckoo Search Optimization based Artificial Neural Network Classifier, 2015 International Conference on Soft Computing Techniques and Implementations- (ICSCTI) Department of ECE, FET, MRIU, Faridabad, India, Oct 8-10, 2015.
  8. Suhas R. Mache, Manasi R. Baheti, C. Namrata Mahender, Review on Text-To-Speech Synthesizer, International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 8, August 2015.
  9. Pratik K. Kurzekar, Ratnadeep R. Deshmukh, Vishal B. Waghmare, Pukhraj P. Shrishrimal, A Comparative Study of Feature Extraction Techniques for Speech Recognition System, International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 12, December 2014.
  10. Suman K. Saksamudre, P.P. Shrishrimal, R.R. Deshmukh, A Review on Different Approaches for Speech Recognition System, International Journal of Computer Applications (0975 8887) Volume 115 No. 22, April 2015.
  11. M. Vyas, “A Gaussian Mixture Model Based Speech Recognition System Using Matlab”, SIPIJ, Vol.4, No.4, August 2013.
  12. N. Srivastava, “Speech Recognition using Artificial Neural Network”, IJESIT, Volume 3, Issue 3, May 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Speech to Text Text to Speech Conversion

Powered by PhDFocusTM