Random Articles
Reseach Article
Marathi Interactive Voice Response System (IVRS) using MFCC and DTW
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 125 - Number 15 |
| Year of Publication: 2015 |
| Authors: Manasi Ram Baheti, Bharti W. Gawali, S.C. Mehrotra |
10.5120/ijca2015906242
|
Manasi Ram Baheti, Bharti W. Gawali, S.C. Mehrotra . Marathi Interactive Voice Response System (IVRS) using MFCC and DTW. International Journal of Computer Applications. 125, 15 ( September 2015), 38-43. DOI=10.5120/ijca2015906242
Abstract
The need for quick and broad application of Speech enabled systems is becoming obvious. Studies have shown that there is a substantial "digital divide" that prevents many of our citizens, particularly illiterate rural people, from using the emerging technology. In order to accelerate this essential "technology transfer," this research aims to develop an Interactive Voice Response (IVR) system (IVRS) for rural agricultural purpose, using Marathi speech recognition. The automatic recognition of speech, enabling a natural and easy to use method of communication between human and machine, is an active area of research. The proposed IVR system in this research uses Speech Recognition technology in Marathi language that handles the queries of transactions at "Krushi Utpanna Bajar Samiti".
References
- https://www.hcii.cmu.edu/courses/speech-recognition-and-understanding.
- "Speech Recognition on DSP: Algorithm Optimization and Performance Analysis" , YUAN Meng, The Chinese University of Hong Kong, July 2004.
- Intervoice Speech -enabled IVR Systems”, Volume 50, India HCI '14 Proceedings of the India HCI 2014 Conference on Human Computer Interaction.
- P.Laxminarayana,A.V.Ramana,Mythilisharana,A.Srikanth, B.Sandeep kumar and J.Mounika “Automatic Speech Recognition, Tutorial & Lab Manual”, Prepared by, Research and Training Unit for Navigational Electronics Osmania University, Hyderabad, INDIA - 500 007.
- Jay E. Coop , “IVR: The History and Future Of Speech Recognition”, January 21, 2011 http://ezinearticles.com/?expert=Jay_E._Coop
- “A comparative study of speech and dialed input voice interfaces in rural India”, DOI: 10.1145/1518701.1518709 Conference: Proceedings of the 27th International Conference on Human Factors in Computing Systems, CHI 2009, Boston, MA, USA, April 4-9, 2009.
- “Villgro Innovations Foundation Case Study Series” – Uniphore Software Systems, 2012.
- ”Evaluation and error recovery methods of an IVR based real time speech recognition application”, Oriental COCOSDA held jointly with 2013 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE), 2013 International Conference.
- Santosh A. Kulkarni1, Dr. A.R.Karwankar,“IVRS FOR COLLEGE AUTOMATION”, , International Journal of Advanced Research in Computer and Communication Engineering Vol. 1, Issue 6, August 2012, ISSN : 2278 – 1021.
- Bharti Gawali, Ganesh Janawale, S.C. Mehrotra ,“Marathi Isolated Word Recognition System Using MFCC Features”, Department of Computer Science & IT, Dr.B.A.M.University, Aurangabad, International Journal on Information Technology , Mar2011, Vol. 1 Issue 1, p21.
- Hemakumar G., Punitha P., “Speech Recognition Technology: A Survey on Indian Languages”, International Journal of Information Science and Intelligent System, Vol. 2, No.4, 2013.
- Saurabh Chatterjee ,Project guides: Harish Karnick, Srinivasan Umesh, Speech Recognition in Indian Languages Btp term1 report
Index Terms
Keywords