Dual and joint estimation for speech enhancement

  • Authors

    • V Gopi Tilak
    • S Koteswara Rao
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10243
  • Dual Estimation, Joint Estimation, Intelligibility, Kalman Filter, Signal To Noise Ratio

  • Abstract

    Maintaining good quality and intelligibility of speech is the primary constraint in mobile communications. The present work is on the enhancement of speech under the consideration of additive white and colored noise environments using Kalman filter. Dual and Joint estimation techniques were applied and the quality of speech is analyzed through the signal to noise ratio. The techniques were applied in both ideal and practical cases for two different speech samples.

  • References

    1. [1] M. R. Sambur and N. S. Jayant, “LPC analysis/synthesis from speech inputs containing quantization noise or additive white noise,†IEEE Trans. Acoust., Speech, Signal Processing,vol. ASSP-24, pp. 488- 494, Dec. 1976.

      [2] C. F. Teacher and D. Coulter, “Performance of LPC vocoders in a noisy environment,†in Proc. IEEE Int. Con$ Acoust., Speech, Signal Processing(Washington, DC), Apr. 2-4, 1979, pp. 216-219.

      [3] J. D. Gibson, “Theory of LPC analysis for distorted inputs,†in Proc. Eighteenth Annu. Allerton Con$ Commun. , Contr., Computing, (Monticello, IL), Oct. 8-10. 1980, p. 955.

      [4] Vinayshankar Somalara Nataraj, Athulya M. S., Sathidevi Puthumangalathu Savithri, ‘Single Channel Speech Enhancement Using Adaptive Filtering and Best Correlating Noise Identification’, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).

      [5] S.F. Boll, “Suppression of acoustic noise in speech using spectralsubtractionâ€, IEEE Tans. Acoust., Speech, Signal Processing, vol. 27Issue 2, pp. 113-120, April 1979.

      [6] Shambhu Shankar Bharti, Manish Gupta, and Suneeta Agarwal, “A New Spectral Subtraction Method for Speech Enhancement using Adaptive Noise Estimationâ€, 2016 3rd International Conference on Recent Advances in Information Technology (RAIT),pp. 128-132, 2016.

      [7] Ching-Ta Lu, Kun-Fu Tsen, Yung-Yue Chen, Ling-Ling Wang, and Chung-Lin Leita, “Speech ENhancement Using Spectral Subtraction Algorithm with Over-Subtraction and Reservation Factors Adapted by Harmonic Propertiesâ€, 2016 International Conference on Applied System Innovation (ICASI),pp. 1-5, 2016.

      [8] Monson H. Hayes, “Statistical digital signal processing and modellingâ€, John Wiley and Sons Inc., publishers.

      [9] K. K. Paliwal and Anjan Basu,â€A speech enhancement method based on Kalman filteringâ€, acoustics, speech, and signal processing, ieee international conference on icassp '87.

      [10] Sharon Gannot and Marc Moonen,â€On the application of the unscented Kalman filter to speech enhancementâ€, International Workshop on Acoustic Echo and Noise Control (IWAENC2003), Sept. 2003, Kyoto, Japan.

      [11] Jerry D. Gibson, Boneung Koo and Steven D. Gray,â€Filtering of colored noise for speech enhancement and codingâ€, IEEE Transactions on signal processing. vol. 39. no. 8. august 1991.

      [12] Sharon Gannot, David Burshtein and Ehud Weinstein, ‘Iterative and sequential Kalman filter-based speech enhancement algorithmsâ€, IEEE Transactions on speech and audio processing, vol. 6,no. 4, July 1998.

  • Downloads

  • How to Cite

    Gopi Tilak, V., & Koteswara Rao, S. (2018). Dual and joint estimation for speech enhancement. International Journal of Engineering & Technology, 7(2.7), 5-8. https://doi.org/10.14419/ijet.v7i2.7.10243

    Received date: 2018-03-18

    Accepted date: 2018-03-18

    Published date: 2018-03-18