@article {Choi:July/August 2007:1610-1928:632,
	author = "Choi, Jae Seung",
	title = "An Adaptive Speech Enhancement System Based on Noise Level Estimation and Lateral Inhibition",
	journal = "Acta Acustica united with Acustica",
	volume = "93",
	year = "July/August 2007",
	abstract = "In speech recognition under a noisy environment, a system is needed that can reduce noise, while enhancing speech. The human auditory system has an excellent analytical spectrum mechanism for speech enhancement. Accordingly, this paper proposes an adaptive method which is inspired by known human auditory mechanism, called lateral inhibition. This method first estimates noise intensity using a neural network, then adjusts frame by frame the coefficients of both the lateral inhibition and the amplitude component according to the noise intensity for each input frame. The proposed system is compared with the results of a conventional spectral subtraction method and minimum mean-square error log-spectral amplitude (MMSE-LSA) estimator at different noise levels. Experiments confirm that the proposed system is effective for speech degraded by various noises using objective (global SNR and spectral distortion) and subjective mean opinion score (MOS) evaluations.",
	pages = "632-644(13)",
	url = "http://www.ingentaconnect.com/content/dav/aaua/2007/00000093/00000004/art00011"
}