Speech enhancement

Speech enhancement aims to improve speech quality by using various algorithms. The objective of enhancement is improvement in intelligibility and/or overall perceptual quality of degraded speech signal using audio signal processing techniques.

Enhancing of speech degraded by noise, or noise reduction, is the most important field of speech enhancement, and used for many applications such as mobile phones, VoIP, teleconferencing systems, speech recognition, and hearing aids .[1]

Algorithms

The algorithms of speech enhancement for noise reduction can be categorized into three fundamental classes: filtering techniques, spectral restoration, and model-based methods .[2]

  • Filtering Techniques
  • Spectral Subtraction Method
  • Wiener Filtering
  • Signal subspace approach (SSA)
  • Spectral Restoration
  • Minimum Mean-Square-Error Short-Time Spectral Amplitude Estimator (MMSE-STSA)
  • Speech-Model-Based

See also

References

  1. ↑ J. Benesty, S. Makino, J. Chen (ed). Speech Enhancement. pp.1-8. Springer, 2005. ISBN 978-3-540-24039-6.
  2. ↑ J. Benesty, M. M. Sondhi, Y. Huang (ed). Springer Handbook of Speech Processing. pp.843-869. Springer, 2007. ISBN 978-3-540-49125-5.
  • J. Benesty, M. M. Sondhi, Y. Huang (ed). Springer Handbook of Speech Processing. Springer, 2007. ISBN 978-3-540-49125-5.
  • J. Benesty, S. Makino, J. Chen (ed). Speech Enhancement. Springer, 2005. ISBN 978-3-540-24039-6.
  • P. C. Loizou. Speech Enhancement: Theory and Practice. CRC Press, 2013. ISBN 978-1-466-50421-9.


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