A Comparative Study on Speech Recognition Approaches and Models

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2017 by IJCTT Journal
Volume-43 Number-2
Year of Publication : 2017
Authors : K Naga Abhishek Reddy, Parul Agrawal, Poonam Singh, Prerna Singh, Latha N.R
  10.14445/22312803/IJCTT-V43P117

MLA

K Naga Abhishek Reddy, Parul Agrawal, Poonam Singh, Prerna Singh, Latha N.R  "A Comparative Study on Speech Recognition Approaches and Models". International Journal of Computer Trends and Technology (IJCTT) V43(2):118-123, January 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
This paper is a study on various speech recognition and speech to text conversion approaches. Speech recognition applications are finding its importance today, and various interactive speech aware applications are available in the market. Speech recognition has become one of the widely used technologies, as it offers great opportunity to interact and communicate with automated machines in various parts of life, right from walk y talkies to mobile phones, microphones to earphones, we use speech or voice inputs. Recent researches have revealed that speech recognition has various issues that affect the decoding of speech. In order to overcome these issues, different models are developed by the researchers. This study is an effort to compare different approaches and models applied for speech recognition based on their type, advantages disadvantages and how voice input is taken into the system.

References
[1] Susanne Wagner (Halle), "Intra lingual speech-to-text-conversion in real-time: Challenges and Opportunities", EU-High-Level Scientific Conference Series, 2002.
[2] Adam L. Buchsbaum and Raffaele Giancarlo, "Algorithmic Aspects in Speech Recognition: An Introduction", Association for Computing Machinery, Inc., 1515 Broadway, New York – 2005.
[3] Kumbharana, Chandresh K., “Speech Pattern Recognition for Speech to Text Conversion Thesis", Saurashtra University.
[4] Philippe Drew, David Rybach, Thomas Deselaers, Morteza Zahedi, "Speech Recognition Techniques for a Language Recognition System", RWTH Aachen University, Germany – 2008.
[5] Nitin Washani and Sandeep Sharma, "Speech Recognition System", International Journal of Computer Applications (0975 – 8887) Volume 115 – No. 18, April 2009 [6] Voice based automatic enquiry system 2010.
[7] Sadaoki Furui, "Speech-to-Text Conversion", IEEE Transactions on Speech and Audio Processing, Vol. 12, No. 4, July 2011.
[8] Jan Novotny, Pavel Sovka, Jan Uhlir, "Speech-to-Text conversion and reducing noise", Radio-engineering, Vol. 13, No. 1, April 2011.
[9] B. Raghavendhar Reddy, "Speech to Text Conversion using Android Platform", International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622, www.ijera.com Vol. 3, Issue 1, January -February 2013 .
[10] Preeti Saini, "Automatic Speech Recognition: A review", International Journal of Engineering Trends and Technology- Volume 4 Issue2- 2013.
[11] Alaa Hassan Mahmoud, Salma Alzaki Ali, "Speech to text conversion", A thesis Submitted in Partial Fulfilment of the Requirements for the Degree of Bachelor in Software Engineering – 2014.
[12] Miss. Prachi Khilari, "A Review on Speech to Text Conversion Methods", International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 4 Issue 7, July 2015.
[13] Rajesh Makhijani, "Speech recognition system", International Journal of Engineering Sciences & Emerging Technologies, ISSN: 2231 – 6604 Volume 6, Issue 3, Dec. 2015.
[14] Su Myat Mon, Hla Myo Tun, "Speech-To-Text Conversion (STT) System Using HMM", International Journal of Scientific & Technology Research Vol. 4, Issue 06, June 2015.
[15] Khaled M. Alhawiti, "Advances in Artificial Intelligence", and World Academy of Science, Engineering and Technology, International Journal of Computer, Vol: 9, No: 6, 2015.
[16] A.Samouelian, "Knowledge Based Approach to Speech Recognition", International Journal of Computer Applications (0975 – 8887) Volume 10– No.3, November 2015.

Keywords
Speech recognition, comparisons, different approaches of speech recognition.