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A Review on Automatic Speech Recognition System in Indian Regional Languages

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Siddharth S. More, Prashantkumar L. Borde, Sunil S. Nimbhore
10.5120/ijca2018917531

Siddharth S More, Prashantkumar L Borde and Sunil S Nimbhore. A Review on Automatic Speech Recognition System in Indian Regional Languages. International Journal of Computer Applications 181(4):38-42, July 2018. BibTeX

@article{10.5120/ijca2018917531,
	author = {Siddharth S. More and Prashantkumar L. Borde and Sunil S. Nimbhore},
	title = {A Review on Automatic Speech Recognition System in Indian Regional Languages},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2018},
	volume = {181},
	number = {4},
	month = {Jul},
	year = {2018},
	issn = {0975-8887},
	pages = {38-42},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume181/number4/29707-2018917531},
	doi = {10.5120/ijca2018917531},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Speech Recognition is the system whose allows a user to use their voice in the form of input data. It may be used to command text to the computer and give order to the computer system. Speech technologies are commonly used available for an unlimited but most important range of tasks. Older speech recognition application needs to identify each single world by the different phases. This process allow to the machine to conclude where one word begins and the next word stops. This type of speech recognition application are still used to direct to the computer’s system. And operate applications like web browser and spread sheets. New speech recognition system allow a user to order text fluently into the system. The system that allow continuous speech are generally designed to recognize text and format it, rather than controlling the computer system itself.in This research paper studied various types of techniques which is mostly used in automatic speech recognition.

References

  1. Saini, Preeti, and Parneet Kaur. "Automatic speech recognition: A review." International Journal of Engineering Trends and Technology 4, no. 2 (2013): 1-5.
  2. P. P. Shrishrimal, R. R. Deshmukh, Vishal B. Waghmare, “Development Of Isolated Words Speech Database Of Marathi Words For Agriculture Purpose”, Asian Journal of Computer Science And Information Technology 2: 7 (2012) 217 – 218.
  3. Yu, Dong, and Li Deng. AUTOMATIC SPEECH RECOGNITION. SPRINGER LONDON Limited, 2016
  4. Nisha V. S, M. Jayasheela, Speaker Identification Using Combined MFCC and Phase Information, IJARCCE, Feb. 2013, Vol.2.
  5. Louis-Marie Aubert, Roger Woods, Scott Fischaber, and Richard Veitch “Optimization of Weighted Finite State Transducer for Speech Recognition”, IEEE Transactions on Computers, Vol. 62, No. 8, August 2013.
  6. M. Wiśniewski, W. Kuniszyk-Jóźkowiak, E. Smołka, and W. Suszyński, "Automatic Detection of Disorders in a Continuous Speech with the Hidden Markov Models Approach", in Computer Recognition Systems 2, vol. 45, pp. 447-453, 2007.
  7. M. Wiśniewski, W. Kuniszyk-Jóźkowiak, E. Smołka, and W. Suszyński, "Automatic Detection of Prolonged Fricative Phonemes with the Hidden Markov Models Approach", Journal of Medical Informatics & Technologies, vol. 11,pp.293-298, 2007.
  8. Shinde MB, Gandhe DS. Speech processing for isolated Marathi word recognition using MFCC and DTW features. International Journal of Innovations in Engineering and Technology. 2013 Oct; 3(1).
  9. Saksamudre SK, Deshmukh RR. Comparative Study of Isolated Word Recognition System for Hindi Language. In International Journal of Engineering Research and Technology 2015 Jul 20 (Vol. 4, No. 07, July-2015). ESRSA Publications.
  10. Gaurav, Gaurav, Devanesamoni Shakina Deiv, Gopal Krishna Sharma, and Mahua Bhattacharya. "Development of application specific continuous speech recognition system in Hindi." (2012).
  11. Saini P, Kaur P, Dua M. Hindi Automatic Speech Recognition Using HTK. International Journal of Engineering Trends and Technology. 2013 Jun; 4.
  12. Khetri GP, Padme SL, Jain DC, Fadewar DH, Sontakke DB, Pawar DV. Automatic Speech Recognition for Marathi Isolated Words. International Journal of Application or Innovation in Engineering & Management (IJAIEM). 2012 Nov; 1(3):69-74.
  13. R.K.Moore, Twenty things we still don t know about speech, Proc.CRIM/ FORWISS Workshop on Progress and Prospects of speech Research and Technology, 1994.
  14. Bansod, Nagsen S., et al. "Speaker Recognition Using Marathi (Varhadi) Language." Intelligent Computing Applications (ICICA), 2014 International Conference on. IEEE, 2014.
  15. Suhas Mache1, C. Namrata Mahender “Development of Text-to-Speech Synthesizer for Pali Language”, IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 18, Issue 3, Ver. I (May-Jun. 2016), PP 35-42.
  16. Dua, Mohit, R. K. Aggarwal, Virender Kadyan, and Shelza Dua. "Punjabi automatic speech recognition using HTK." IJCSI International Journal of Computer Science Issues 9, no. 4 (2012): 1694-0814.
  17. Dua, Mohit, R. K. Aggarwal, Virender Kadyan, and Shelza Dua. "Punjabi automatic speech recognition using HTK." IJCSI International Journal of Computer Science Issues 9, no. 4 (2012): 1694-0814.
  18. Sharmila, Dr. Neeta Awasthy, Dr. R. K. Singh, "Performance of Hindi Speech Isolated Digits In HTK Environment", IOSR Journal of Engineering May. 2012, Vol. 2(5) pp: 1020-1023.
  19. Preeti Saini, Parneet Kaur, Mohit Dua, "Hindi Automatic Speech Recognition Using HTK", International Journal of Engineering Trends and Technology (IJETT) - Volume4 Issue6- June 2013.
  20. Ankit Kumar, Mohit Dua, Tripti Choudhary,"Continuous Hindi Speech Recognition Using Monophone based Acoustic Modeling", International Journal of Computer Applications® (IJCA) (0975 – 8887) International Conference on Advances in Computer Engineering & Applications (ICACEA-2014) at IMSEC,GZB.
  21. Babita Saxena, Charu Wahi,"Hindi Digits Recognition System on Speech Data Collected In Different Natural Noise Environments", International Conference on Computer Science, Engineering and Information Technology (CSITY 2015) February 14~15, 2015, Bangalore, India. Volume Editors: David C. Wyld, Jan Zizka ISBN : 978-1-921987-31-1.
  22. Jitendra Singh Pokhariya, D r. Sanjay Mathu r, "Sanskrit Speech Recognition using Hidden Markov Model Toolkit", International Journal of Engineering Research & Technology (IJERT) Vol. 3 Issue 10, October- 2014.
  23. Ajay S. Patil, "Automatic Speech Recognition for Ahirani Language Using Hidden Markov Model Toolkit (HTK)", International Journal of Computer Science Trends and Technology (IJCST) – Volume 2 Issue 3, May-Jun 2014.
  24. Sarma, Himangshu, Navanath Saharia, and Utpal Sharma. "Development of Assamese Speech Corpus and Automatic Transcription Using HTK.” Advances in Signal Processing and Intelligent Recognition Systems. Springer International Publishing, 2014. 119-132.
  25. Kumar Ravinder, "Comparison of HMM and DTW for Isolated Word Recognition System of Punjabi Language", Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ,Volume 6419 of the series Lecture Notes in Computer Science pp 244-252, 2010.
  26. Mohit Dua, R. K. Aggarwal, Virender Kadyan, Shelza Dua, "Punjabi Automatic Speech Recognition Using HTK",IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 1, July 2012.
  27. K.Murali Krishna, M.Vanitha Lakshmi, "Speaker Independent Isolated Tamil Words for Speech Recognition using MFCC, IPS and HMM", International Journal of Scientific & Engineering Research, Volume 5, Issue 4, April-2014.
  28. Jinal H. Tailor, Dipti B. Shah, "Speech Recognition System Architecture for Gujarati Language", International Journal of Computer Applications (0975 – 8887) Volume 138 – No.12, March 2016.
  29. Surabhi Sreekanth, Kavi Narayana Murthy, "TextDependent Speaker Recognition System for Telugu" Osmania Papers in Linguistics, Vol.31, 2005, 84-99.
  30. Rahul, L.; Nandakishor, S.; Singh, L.J.; Dutta, S.K., "Design of Manipuri Keywords Spotting System using HMM," in Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on , vol., no., pp.1-3, 18-21 Dec. 2013.
  31. G. Hemakumar, P. Punitha, "Speaker Independent Isolated Kannada Word Recognizer", Multimedia Processing, Communication and Computing Applications Volume 213 of the series Lecture Notes in Electrical Engineering pp 333-345, Date: 26 May 2013.

Keywords

Automatic Speech Recognition, Speech Processing, Signal Processing, Pattern Recognition