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The Use of Artificial Neural Networks in the estimation of the Perception of Sound By the Human Auditory System

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Open Access
|Sep 2015

References

  1. International Standards Organisation, “ISO 226:2003 : Acoustics - Normal EqualLoudness-Level Contours,” ed, 2003.
  2. E. Zwicker, “Subdivision of the Audible Frequency Range into Critical Bands (Frequenzgrupen),”The Journal of the Acoustical Society of America vol. 33, p. 248, 1960.10.1121/1.1908630
  3. H. Traunmuller, “Analytical Expression for the Tonotopic Sensory Scale,”Journal of the Acoustical Society of America, vol. 88, pp. 97 - 100, 1990.10.1121/1.399849
  4. J. A. Freeman and D. M. Skapura, Neural Networks - Algorithms, Applications and Programming Techniques: Addison-Wesley Publishing Company Inc., Massachusetts, 1991.
  5. W. M. Hartman, Signals, Sounds and Sensation. New York: AIP Press, 1997.
  6. H. Fast and E. Zwicker, Psycho-Acoustics: Facts and Models, 3rd ed. Berlin: Springer, 2007.
  7. A. J. Fourcin, “Speech Processing by Man and Machine – Group Report,”Life Sciences Research Report 5 of the Dahlem Workshops, vol. Berlin, pp. 307-351, 1977.
  8. V. L. Tromov, “A Model to Describe the Results of Psychoaustical Experiments on Steady-State-Stimuli,”Analiz Rechevykh Chelovekom, pp. 36 - 49, 1971.
  9. E. Zwicker and E. Terhardt, “Analytical Expressions for the Critical Bandwidth as a function of Frequency,”Journal of the Acoustical Society of America, vol. 68, pp. 1523 - 1525, 1980.
  10. H. Fletcher and W. A. Munson, “Loudness, its definition, measurement and calculation,”Journal of the Acoustic Society of America, vol. 5, pp. 82 - 108, 1933.10.1121/1.1915637
  11. D. W. Robinson and R. S. Dadson, “A re-determination of the equal-loudness relations for pure tones,”J. Appl. Phys, vol. 7, pp. 166 - 181, 1956.10.1088/0508-3443/7/5/302
  12. R. A. W. Bladon and B. Lindblom, “Modelling the Judgement of Vowel Quality Differences,”Journal of the Acoustical Society of America, vol. 69, pp. 1414 - 1422, 1980.
  13. M. L. Minsky and S. A. Papert, Perceptrons: An Introduction to Computational Geometry. Massachusetts: MIT PRess, 1969.
  14. K. Mehrotra, et al., Elements of Artificial Neural Networks. Massachusetts: MIT Press, 1997.10.7551/mitpress/2687.001.0001
  15. R. D. Reed and R. J. Marks, Neural Smithing – Supervised Learning in Feed-Forward Artificial Neural Networks. Massachusetts: MIT Press, 1998.10.7551/mitpress/4937.001.0001
  16. C. M. Bishop, Neural Networks for Pattern Recognition. New York: Oxford University Press, 1995.10.1201/9781420050646.ptb6
  17. D. Riordan and P. Doody, “An Alternative Method for the Estimation of the Perceptual Loudness Measure,”Proceedings of the 2007 International Conference on Artificial Intelligence and Pattern Recognition (AIPR-07), pp. 222 - 224, 2007.
  18. M. R. Schroeder, et al., “Optimizing Digital Speech Coders by Exploiting Masking Properties of the Human Ear,”Journal of the Acoustical Society of America,vol. 66, pp. 1647 - 1652, 1979.
  19. D. Riordan and P. Doody, “An Artificial Neural Network Implementation of the Frequency to Critical-Band Rate Conversion,”Proceedings of the 2007 International Conference on Artificial Intelligence and Pattern Recognition (AIPR-07), pp. 225 - 228, 2007.
Language: English
Page range: 1806 - 1836
Submitted on: Apr 30, 2015
Accepted on: Jul 29, 2015
Published on: Sep 1, 2015
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2015 D. Riordan, P. Doody, J. Walsh, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.