http://iet.metastore.ingenta.com
1887

Enhancing noisy speech signals using orthogonal moments

Enhancing noisy speech signals using orthogonal moments

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Signal Processing — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This study describes a new approach to enhance noisy speech signals using the discrete Tchebichef transform (DTT) and the discrete Krawtchouk transform (DKT). The DTT and DKT are based on well-known orthogonal moments: the Tchebichef and Krawtchouk moments, respectively. The representations of speech signals using a limited number of moment coefficients and their behaviour in the domain of orthogonal moments are shown. The method involves removing noise from the signal using a minimum-mean-square error in the domain of the DTT or DKT. According to comparisons with traditional methods, the initial experiments yield promising results and show that orthogonal moments are applicable in the field of speech signal enhancement. The application of orthogonal moments could be extended to speech analysis, compression and recognition.

References

    1. 1)
      • 1. Loizou, P.C.: ‘Speech enhancement: theory and practice’ (CRC Press, 2013).
    2. 2)
      • 2. Benesty, J., Makino, S., Chen, J.: ‘Speech enhancement’, (Springer, 2005).
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
      • 7. Ephraim, Y., Van Trees, H.L.: ‘A signal subspace approach for speech enhancement’. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 1993.
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
      • 17. Hoe, K.B.: ‘Data Compression of Ecg Signals Using Orthogonal Moments’, Master's Thesis MSc, University of Malaya, 2005.
    18. 18)
      • 18. Ernawan, F., Noersasongko, E., Abu, N.A.: ‘Fast dynamic speech recognition via discrete Tchebichef transform’. First Int. Conf. on Informatics and Computational Intelligence (ICI), 2011, 2011.
    19. 19)
      • 19. Jassim, W.A., Wee, C.Y., Raveendran, P.: ‘Speech signals compression using Krawtchouk moments’. The Electrical and Electronics Engineering Field Wise Seminar on Advances in Systems and Information Technology, 22–23 November 2007.
    20. 20)
      • 20. Jassim, W.A., Raveendran, P.: ‘Speech signals representation by discrete transforms’. IEEE Int. Conf. for Technical Postgraduates (TECHPOS), 14–15 December 2009.
    21. 21)
    22. 22)
      • 22. Flusser, J., Suk, T., Zitov, B.: ‘Moments and moment invariants in pattern recognition’ (J. Wiley, 2009).
    23. 23)
      • 23. Nikiforov, A.F., Suslov, S.K., Uvarov, V.B.: ‘Classical orthogonal polynomials of a discrete variable’ (Springer-Verlag, 1991).
    24. 24)
    25. 25)
    26. 26)
      • 26. Loizou, P.: ‘Speech quality assessment’, in Lin, W., Tao, D., Kacprzyk, J., Li, Z., Izquierdo, E., Wang, H. (Eds.): ‘Multimedia analysis, processing and communications’ (Berlin Heidelberg, Springer, 2011).
    27. 27)
      • 27. Audio, I., Electroacoustics, G.: ‘Ieee recommended practice for speech quality measurements’ (Institute of Electrical and Electronics Engineers, 1969).
    28. 28)
      • 28. Panzer, I., Sharpley, A., Voiers, W.: ‘A comparison of subjective methods for evaluating speech quality’, in Atal, B., Cuperman, V., Gersho, A. (Eds.): ‘Speech and audio coding for wireless and network applications’, (US, Springer, 1993).
    29. 29)
    30. 30)
      • 30. ITU-T(P.835): ‘Subjective test methodology for evaluating speech communication systems that include noise suppression algorithm’. ITU-T Recommendation P.835, 2003.
    31. 31)
    32. 32)
      • 32. Quackenbush, S.R., Barnwell, T.P., Clements, M.A.: ‘Objective measures of speech quality’ (Prentice-Hall PTR, 1988).
    33. 33)
      • 33. Klatt, D.: ‘Prediction of perceived phonetic distance from critical-band spectra: a first step’. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, ICASSP'82, 1982.
    34. 34)
      • 34. ITU-T: ‘Itu-T Recommendation P.862. Perceptual evaluation of speech quality (Pesq): an objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs’, February 2001.
    35. 35)
    36. 36)
      • 36. Hu, Y., Loizou, P.C.: ‘Evaluation of objective measures for speech enhancement’. INTERSPEECH 2006 – ICSLP, Ninth Int. Conf. on Spoken Language Processing, ISCA, 2006.
    37. 37)
    38. 38)
    39. 39)
    40. 40)
    41. 41)
      • 41. Plapous, C., Marro, C., Mauuary, L., Scalart, P.: ‘A two-step noise reduction technique’. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 2004.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-spr.2013.0322
Loading

Related content

content/journals/10.1049/iet-spr.2013.0322
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address