Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

A new approach to dual channel speech enhancement based on hybrid PSOGSA

  • Published:
International Journal of Speech Technology Aims and scope Submit manuscript

Abstract

A new approach to dual channel speech enhancement is proposed based on a recently introduced meta-heuristic optimization algorithm called hybrid PSOGSA. It is a novel algorithm which combines the ability of exploration in gravitational search algorithm (GSA) and the exploitation capability of particle swarm optimization (PSO) to offer a better local search process along with the social thinking. This paper aims to present such a hybrid combination as a promising and powerful technique to adaptive noise cancellation in speech enhancement and it is compared with the standard PSO (SPSO) and GSA based speech enhancement algorithms. Simulation results prove that the performance of PSOGSA is superior to SPSO and GSA algorithms, in the context of speech enhancement.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Badri Asl, L., & Geravanchizadeh, M. (2010). Asexual reproduction based adaptive quantum particle swarm optimization algorithm for dual channel speech enhancement. In International Conference on Information Science, Signal Processing and their Applications, ISSPA (pp. 129–132).

  • Badri Asl, L., & Geravanchizadeh, M. (2010). Dual-channel speech enhancement based on stochastic optimization strategies. In International Conference on Information Science, Signal Processing and their Applications (pp. 229–232).

  • Badri Asl, L., & Nezhad, V. M. (2010). Improved particle swarm optimization for dual-channel speech enhancement. In International Conference on Signal Acquisition and Processing (pp. 13–17).

  • Badri Asl, L., & Nezhad, V. M. (2010). Speech enhancement using particle swarm optimization techniques. In International Conference on Measuring Technology and Mechatronics Automation (pp. 441–444).

  • Eberhart, R. C., & Kennady, J. (1995). A new optimizer using particles swarm theory. In International Symposium on Micro Machine and Human Science (pp. 39–43). Nagoya, Japan.

  • Hu, Y., & Loizou, P. (2006). Subjective comparison of speech enhancement algorithms. In ICASSP Proceedings of Toulouse, France (pp. 153–156).

  • Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of IEEE International Conference on Neural Networks IV (pp. 1942–1948). doi:10.1109/ICNN.1995.488968.

  • Klatt, D. (1982). Prediction of perceived phonetic distance from critical band spectra. In Proceedings of IEEE International Conference Acoustics Speech, Signal Processing (Vol. 7, pp. 1278–1281).

  • Krishnamoorthy, P. (2011). An overview of subjective and objective quality measures for noisy speech enhancement algorithms. IETE Technical Review, 28, 292–301.

  • Loizou, P. C., & Ma, J. (2011). Extending the articulation index to account for non-linear distortions introduced by noise- suppression algorithms. The Journal of Acoustical Society of America, 986–995.

  • Loizou, P. C. (2007). Speech enhancement theory and practice. Boca Raton, FL: CRC Press.

    Google Scholar 

  • Mars, P., Chen, J. R., & Nambiar, R. (1996). Learning algorithms: Theory and applications in signal processing. Control and cmmunications. Boca Raton, FL: CRC Press Inc.

    Google Scholar 

  • Mirjalili, S., & Mohd Hashim, S. Z. (2010). A new hybrid PSOGSA algorithm for function optimization. In IEEE International Conference on Computer and Information Application (ICCIA 2010) (pp. 374–377).

  • Osgouei, S. G., & Chizadeh, M. G. (2010). Dual-channel speech enhancement based on a hybrid particle swarm optimization algorithm. In 5th International Symposium on Telecommunications (IST’ 2010) (pp. 873–877).

  • Rashedi, E., Nezamabadi-pour, H., Saryazdi, S. (2009). GSA: A gravitational search algorithm. Information Science, 179, 2232–2248.

  • Rix, A., Beerens, J., Hollier, M., & Hekstra, A. (2001). Perceptual evaluation of speech quality (PESQ)—A new method for speech quality assessment of telephone networks and codecs. In Proceedings of IEEE, International Conference Acoustics Speech, Signal processing (Vol. 2, pp. 749–752).

  • Shi, Y., & Eberhart, R. C. (1998). A modified particle swam optimizer. IEEE Word Congress on Computational Intelligence, 1998, 69–73.

    Google Scholar 

  • Ueda, T., & Suzuki, H. (1990). Performance of equalizers employing a re-training RLS algorithm for digital mobile radio communications. In 40th IEEE Vehicular Technology Conference (pp. 553–558).

  • Widrow, B., & Stearns, S. (1985). Adaptive signal processing. Englewood Cliffs, NJ: Prentice Hall.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Andhra University, Visakhapatnam, India

    Prajna Kunche, G. Sasi Bhushan Rao & K. V. V. S. Reddy

  2. Department of Electronics and Communication Engineering, Vignan Institute of Information Technology, Visakhapatnam, India

    R. Uma Maheswari

Authors
  1. Prajna Kunche
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. Sasi Bhushan Rao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. K. V. V. S. Reddy
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. R. Uma Maheswari
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Prajna Kunche.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kunche, P., Sasi Bhushan Rao, G., Reddy, K.V.V.S. et al. A new approach to dual channel speech enhancement based on hybrid PSOGSA. Int J Speech Technol 18, 45–56 (2015). https://doi.org/10.1007/s10772-014-9245-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10772-014-9245-5

Keywords

Search

Navigation