A noise reduction algorithm used in speech signal processes which is referred to as LMS adaptive noise reduction, is also designed to reduce wide-band noise but improve signal to noise Ratio.

The endpoint detection based on short-time average magnitude of speech signals relative autocorrelation sequences can be detected in high accuracy under the low signal-to noise ratio.

Based on local signal to noise ratio, the method estimates characteristic component of speech sound sub band covered by noise.