Speech enhancement
Speech enhancement aims to improve
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
Algorithms
The algorithms of speech enhancement for noise reduction can be categorized into three fundamental classes: filtering techniques, spectral restoration, and model-based methods.[3]
- 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
- Audio noise reduction
- Speech coding
- Speech interface guideline
- Speech processing
- Speech recognition
- Voice analysis
References
- ISBN 978-3-540-24039-6.
- arXiv:1911.02388 [eess.AS].
- 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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