Have a personal or library account? Click to login
A Class of Neuro-Computational Methods for Assamese Fricative Classification Cover

A Class of Neuro-Computational Methods for Assamese Fricative Classification

Journal of Artificial Intelligence and Soft Computing Research
Volume 5 (2015): Issue 1 (January 2015)
By: Chayashree Patgiri,  Mousmita Sarma and  Kandarpa Kumar Sarma  
Open Access
|Apr 2015

References

  1. [1] M. Sarma and K.K. Sarma, Phoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework. Studies in Computational Intelligence vol. 550, Springer India, New Delhi, 2014.10.1007/978-81-322-1862-3
    Search in Google Scholar
  2. [2] M. Sarma and K. K. Sarma, An ANN based approach to Recognize Initial Phonemes of Spoken Words of Assamese Language. Elsevier International Journal of Applied Soft Computing, vol. 13, no. 5, pp. 2281-2291, 2013.
    Search in Google Scholar
  3. [3] T Robinson, M Hochberg and S Renals, IPA: Improved phone modelling with recurrent neural networks. In Proceedings of IEEE ICASSP, 1994.
    Search in Google Scholar
  4. [4] T Lee, P C Ching and L W Chan, An RNN Based Speech Recognition System with Discriminative Training. In Proceedings of the 4th European Conferrence on Speech Communication and Technology, pp. 1667-1670, 1995.
    Search in Google Scholar
  5. [5] L. H. R. C. Jamieson, Experiments on the Implementation of Recurrent Neural Networks for Speech Phone Recognition. Proceedings of the Thirtieth Annual Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, pp. 779-782, November, 1996.
    Search in Google Scholar
  6. [6] T. Koizumi, M. Mori, S. Taniguchi and M. Maruya, Recurrent Neural Networks for Phoneme Recognition. In Proceedings Fourth International Conference, vol. 1, pp. 326 -329, 1996.10.21437/ICSLP.1996-107
    Search in Google Scholar
  7. [7] L J M Rothkrantz and D Nollen, Speech Recognition Using Elman Neural Networks. Text, Speech and Dialogue, Lecture Notes in Computer Science, 1692: 146-151, 1999.10.1007/3-540-48239-3_26
    Search in Google Scholar
  8. [8] Y Sun , L T Bosch and L Boves, Hybrid HMM/BLstm-Rnn for Robust Speech Recognition. In Proceedings of 13th International Conference on Text, Speech and Dialogue, Springer-Verlag Berlin, Heidelberg :400-407, 2010.10.1007/978-3-642-15760-8_51
    Search in Google Scholar
  9. [9] O Vinyals , S V Ravuri and D Povey, Revisiting Recurrent Neural Networks For Robust ASR. In Proceedings of IEEE International Confrence on Acoustics, Speech, and Signal Processing (ICASSP), 2012.10.1109/ICASSP.2012.6288816
    Search in Google Scholar
  10. [10] T Mikolov and G Zweig,Context Dependent Recurrent Neural Network Language Model. In Proceedings of the IEEE Spoken Language Technology Workshop (SLT), Miami, FL, USA : 234-239, 2012.10.1109/SLT.2012.6424228
    Search in Google Scholar
  11. [11] S. Badura, M. Fnitrik, O. Skvarek, M. Klimo, Bimodal vowel recognition using fuzzy logic networks - naive approach. In Proceedings of ELEKTRO, Rajecke Teplice, 2014.10.1109/ELEKTRO.2014.6847864
    Search in Google Scholar
  12. [12] R. Halavati, S. B. Shouraki, S. H. Zadeh, Recognition of human speech phonemes using a novel fuzzy approach. Applied Soft Computing, 7:828839, 2007 .10.1016/j.asoc.2006.02.007
    Search in Google Scholar
  13. [13] I. B. Fredj, K. Ouni, A novel phonemes classification method using fuzzy logic. Science Journal of Circuits, Systems and Signal Processing vol. 2, no. 1, pp. 1-5, 2013.10.11648/j.cssp.20130201.11
    Search in Google Scholar
  14. [14] P. Melin, J. Urias, D. Solano, M. Soto, M. Lopez and O. Castillo, Voice Recognition with Neural Networks, Type-2 Fuzzy Logic and Genetic Algorithms, Engineering Letters, vol.3, no.2, 2006.
    Search in Google Scholar
  15. [15] A. Taleb, Speech Recognition by Fuzzy-Neuro ANFIS Network and Genetic Algorithms, In Proceedings of International Conference on Intelligent Computational Systems, Dubai, 2012.
    Search in Google Scholar
  16. [16] A. Jongman, R. Wayland, and S. Wong, Acoustic characteristics of English fricatives. Journal of Acoustical Society of America , vol. 108, no. 3, Sepember, 2000.10.1121/1.128841311008825
    Search in Google Scholar
  17. [17] D. O’Shaughnessy, Speech Communication Human and Machine, 2nd Edition, IEEE Press, New York, 2000.
    Search in Google Scholar
  18. [18] Kenneth N. Stevens, Acoustic Phonetics, 1st MIT Press paperback Edition, The MIT Press, Cambridge, Massachusetts, London, England, 2000.
    Search in Google Scholar
  19. [19] P. Ladefoged, S. F. Disner, Vowels and Consonants, 3rd Edition, Wiley-Blackwell Publishing Ltd., West Sussex, UK, 2012.
    Search in Google Scholar
  20. [20] G. C. Goswami, Structure of Assamese, 1st Edition, Department of Publication, Gauhati University, Guwahati, Assam, India, 1982.
    Search in Google Scholar
  21. [21] U. N. Goswami, An Introduction to Assamese, Mani-Manik Prakash, Guwahati, Assam, India, 1978.
    Search in Google Scholar
  22. [22] G. C. Goswami and J. P. Tamuli, “Asamiya”, in G. Cardona and D. Jain (eds.), The Indo-Aryan Languages, London: Routledge, pp. 391-443, 2003.
    Search in Google Scholar
  23. [23] S. Haykin, Neural Networks:A Comprehensive Foundation, 2nd Edition, Prentice-Hall of India Pvt. Ltd., Delhi, India, 2005.
    Search in Google Scholar
  24. [24] J. R. Jang, ANFIS : Adaptive Network-Based Fuzzy Inference System, IEEE Transactions on Systems, Man and Cybernetics, Vol. 23, No. 3, 1993.10.1109/21.256541
    Search in Google Scholar
  25. [25] A. Abraham, Neuro Fuzzy Systems: State-ofthe- art Modeling Techniques, Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence Lecture Notes in Computer Science, Vol.2084, pp 269-276, 2001.
    Search in Google Scholar
  26. [26] K. Haese, Self-organizing feature maps with selfadjusting learning parameters. IEEE Transactions on Neural Networks, vol. 9, pp. 1270-1278, 1998.
    Search in Google Scholar
  27. [27] J. S. R. Jang, C. T. Sun and E. Mizutani, Neuro- Fuzzy and Soft-Computing, 1st Edition, Prentice- Hall of India Pvt. Ltd., Delhi, India, 2011.
    Search in Google Scholar
  28. [28] J. Makhoul, Linear prediction: A tutorial review, In Proceedings of IEEE, vol. 63, pp. 561-580, 1975.10.1109/PROC.1975.9792
    Search in Google Scholar
  29. [29] B. P. Bogert, M. J. R. Healy, and J. W. Tukey, The Quefrency Alanysis of Time Series for Echoes: Cepstrum, Pseudo Autocovariance, Cross- Cepstrum and Saphe Cracking, Proceedings of the Symposium on Time Series Analysis, Chapter 15, pp. 209-243, 1963.
    Search in Google Scholar
  30. [30] A. M. Noll and M. R. Schroeder, Short-Time ’Cepstrum’ Pitch Detection, Journal of the Acoustical Society of America, vol. 36, no. 5, pp. 1030-1036, 1964.
    Search in Google Scholar
  31. [31] A. M. Noll , Short-Time Spectrum and Cepstrum Techniques for Vocal-Pitch Detection, Journal of the Acoustical Society of America, vol. 36, no. 2, pp. 296-302, 1964.10.1121/1.1918949
    Search in Google Scholar
  32. [32] A. V. Oppenheim and R.W. Schafer, Digital Signal Processing, Englewood Cliffs, NJ:Prentice-Hall, 1975.
    Search in Google Scholar
  33. [33] Sarma B D, Sarma M, Sarma M and Prasanna S R M, Development of Assamese Phonetic Engine: Some Issues, In Proceedings of INDICON-2013, IIT Bombay, Mumbai, India, 2013.10.1109/INDCON.2013.6725966
    Search in Google Scholar
  34. [34] Rajen Barua, The X sound in Assamese language, The Assam Tribune, Guwahati, Sunday, March 5, 2006.
    Search in Google Scholar
  35. [35] Prof. Gautam Baruah, Dept. of CSE, IIT Guwahati, Available via tdil.mit.gov.in/assamesecodechartoct02.pd f
    Search in Google Scholar
  36. [36] ht p: //www.speech.kth.se/wavesurf er/
    Search in Google Scholar
  37. [37] P. Boersma and D. Weenink, Praat: doing phonetics by computer. Available via htt p : //www. f on.hum.uva.nl/praat/
    Search in Google Scholar
DOI: https://doi.org/10.1515/jaiscr-2015-0019
Journal RSS Feed
Language: English
Page range: 59 - 70
Published on: Apr 30, 2015
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2015 Chayashree Patgiri, Mousmita Sarma, Kandarpa Kumar Sarma, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Previous articleVolume 5 (2015): Issue 1 (January 2015)Next article