Cohen, I. and Berdugo, B. (2002) Noise estimation by minima controlled recursive averaging for robust speech enhancement. IEEE SIGNAL PROCESSING LETTERS, 9(1), 12–15.

has been cited by the following article:

• TITLE: Iterative spectral subtraction method for millimeter-wave conducted speech enhancement

  AUTHORS: Sheng Li, Jian-Qi Wang, Ming Niu, Xi-Jing Jing, Tian Liu

  KEYWORDS: Millimeter Wave; Speech Detecting; Speech Enhancement

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.3 No.2, March 1, 2010

  ABSTRACT: A non-air conducted speech detecting method has been developed in our laboratory by using millimeter wave radar technology. Because of the special attributes of the millimeter wave, this method may considerably extend the capabilities of traditional speech detecting methods. However, radar speech is substantially degraded by additive combined noises that include radar harmonic noise, electrocircuit noise, and ambient noise. This study, therefore, proposed an iterative spectral subtraction method which can be adaptively estimate noise spectrum at every iteration, and reduce the musical noise remained in the previous spectral subtraction process. Results from simulations as well as evaluations confirm that the proposed method satisfactorily reduces whole-frequency and musical noises and produces good speech quality.