Skip to main content
SpringerLink
Log in
Book cover

Cognitive Informatics and Soft Computing pp 281–287Cite as

Deep Neural Network Based Speech Enhancement

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 768))

Abstract

Enhancement of the speech signal is an essential task in the adverse environment. Several algorithms have been designed from several years to improve the quality. Mostly Neural Network and its variants are utilized for classification purpose. This paper exhibits the speech enhancement method based on the Deep Neural Network (DNN) to improve the quality and to increase the Signal-to-Noise Ratio of the speech signal. Different hidden layers are set to test the results. The audio features are extracted by using the short time Fourier transforms. The use of audio features improves the speech enhancement performance of DNN. Segmental Signal-to-Noise Ratio (SegSNR) and Perceptual Evaluation of Speech Quality (PESQ) are measured to test the results.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Loizou, P.: Speech Enhancement: Theory and Practice. CRC Press, Boca Raton (2007)

    Google Scholar 

  2. Haykin, S.: Adaptive Filter Theory, 3rd edn. Prentice Hall, Upper Saddle River (1996)

    MATH  Google Scholar 

  3. Boll, S.F.: Suppression of acoustic noise in speech using spectral subtraction. IEEE Trans. ASSP 27, 113–120 (1979)

    Article  Google Scholar 

  4. Chaudhari, A., Dhonde, S.B.: A review on speech enhancement techniques. In: International Conference on Pervasive Computing (ICPC) (2015)

    Google Scholar 

  5. Vihari, S., Murthy, A.S., Soni, P., Naik, D.C.: Comparison of speech enhancement algorithms. Procedia Comput. Sci. 89, 666–676 (2016)

    Article  Google Scholar 

  6. Ram, R., Mohanty, M.N.: Performance analysis of adaptive algorithms for speech enhancement applications. Indian J. Sci. Technol. 9(44), 6 (2016)

    Article  Google Scholar 

  7. Fah, L.B., Hussain, A., Samad, S.A.: Speech enhancement by noise cancellation using neural network. In: IEEE Conference on TENCON (2000)

    Google Scholar 

  8. Daqrouq, K., Abu-Isbeih, I.N., Alfauori, M.: Speech signal enhancement using neural network and wavelet transform. In: International Multi-Conference on Systems, Signals and Devices (2009)

    Google Scholar 

  9. Ram, R., Mohanty, M.N.: Fractional DCT ADALINE method for speech enhancement. In: International Conference on Machine Learning and Computational Intelligence (2017) (Communicated)

    Google Scholar 

  10. Goehring, T., Bolner, F., Monaghan, J.J.M., Dijk, B., Zarowski, A., Bleeck, S.: Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users. Hear. Res. 344, 183–194 (2017)

    Article  Google Scholar 

  11. Prieto, A., Prieto, B., Ortigosa, E.M., Ros, E., Pelayo, F., Ortega, J., Rojas, I.: Neural networks: an overview of early research, current frameworks and new challenges. Neurocomputing 214, 242–268 (2016)

    Article  Google Scholar 

  12. Xu, Y., Du, J., Dai, L., Lee, C.: A regression approach to speech enhancement based on deep neural networks. IEEE/ACM Trans. Audio, Speech, Lang. Process. 23(1), 7–19 (2015)

    Article  Google Scholar 

  13. Li, Y., Kang, S.: Deep neural network based linear predictive parameter estimations for speech enhancement. IET Signal Process. 11(4), 469–476 (2017)

    Article  Google Scholar 

  14. Li, R., Liu, Y., Shi, Y., Dong, L., Cui, W.: ILMSAF based speech enhancement with DNN and noise classification. Speech Commun. 85, 53–70 (2016)

    Article  Google Scholar 

  15. Goehring, T., Yang, X., Monaghan, J.J.M., Bleeck, S.: Speech enhancement for hearing-impaired listeners using deep neural networks with auditory-model based features. In: European Signal Processing Conference (2016)

    Google Scholar 

  16. Hou, J.C., Wang, S.S., Lai, Y.H., Lin, J.C., Tsao, Y., Chang, H.W., Wang, H.M.: Audio-visual speech enhancement using deep neural networks. In: IEEE Signal and Information Processing Association Annual Summit and Conference (APSIPA), pp. 1–6 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India

    Rashmirekha Ram & Mihir Narayan Mohanty

Authors
  1. Rashmirekha Ram
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mihir Narayan Mohanty
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mihir Narayan Mohanty .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India

    Pradeep Kumar Mallick

  2. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Rangpo, India

    Akash Kumar Bhoi

  4. Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, Middlesex, United Kingdom

    Ahmed F. Zobaa

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ram, R., Mohanty, M.N. (2019). Deep Neural Network Based Speech Enhancement. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_27

Download citation

Publish with us

Policies and ethics

Search

Navigation