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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 .〔J. Benesty, S. Makino, J. Chen (ed). ''Speech Enhancement''. pp.1-8. Springer, 2005. ISBN 978-3-540-24039-6.〕 == 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. ISBN 978-3-540-49125-5.〕 * 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 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Speech enhancement」の詳細全文を読む スポンサード リンク
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