Speech enhancement or dialogue 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, speaker diarization, and hearing aids.J. Benesty, S. Makino, J. Chen (ed). Speech Enhancement. pp.1-8. Springer, 2005. .
Algorithms The algorithms of speech enhancement for noise reduction can be categorized into three fundamental classes: filtering techniques, spectral restoration, and model-based methods.J. Benesty, M. M. Sondhi, Y. Huang (ed). Springer Handbook of Speech Processing. pp.843-869. Springer, 2007. . 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
Further reading J. Benesty, S. Makino, J. Chen (ed). Speech Enhancement. Springer, 2005. . P. C. Loizou. Speech Enhancement: Theory and Practice. CRC Press, 2013. .