Abstract
Digital noise reduction processing is used in many telecommunications applications to enhance the quality of speech. This investigation focuses on the class of single-channel noise reduction methods employing the technique of short-time spectral modification, a class that includes the popular method of spectral subtraction. The simplicity and relative effectiveness of these subband noise reduction methods has resulted in explosive growth in their use for a variety of speech communications applications. The most commonly used forms of the short-time spectral modification method are discussed, including the Wiener filter, magnitude subtraction, power subtraction, and generalized parametric subtraction. Because of its importance to the subjective performance of any noise reduction method, the subject of real-time signal- and noise-level estimation is also reviewed. A low-complexity noise reduction algorithm is also presented and its implementation is discussed.
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Diethorn, E.J. (2000). Subband Noise Reduction Methods for Speech Enhancement. In: Gay, S.L., Benesty, J. (eds) Acoustic Signal Processing for Telecommunication. The Springer International Series in Engineering and Computer Science, vol 551. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8644-3_9
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DOI: https://doi.org/10.1007/978-1-4419-8644-3_9
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