自然性
可理解性(哲学)
语音增强
计算机科学
语音识别
优势和劣势
感知
人工智能
心理学
降噪
物理
社会心理学
哲学
认识论
量子力学
神经科学
标识
DOI:10.1109/thms.2023.3339663
摘要
A review of techniques to improve distorted speech is presented, noting the strengths and weaknesses of common methods. Speech signals are discussed from the point of view of which features should be preserved to retain both naturalness and intelligibility. Enhancement methods range from classical spectral subtraction and Wiener filtering to recent deep neural network approaches. The difficulty of finding objective acoustic measures that approximate perceptual speech quality is discussed. Suggestions to improve these methods are made.
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