id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-18737	Wu, Hanhan; He, Rongpeng; Dou, Tao	Research on Speech Denoising Algorithm for Equipment Trains in Fully Mechanized Mining Working Faces based on CEEMDAN High and Low Frequency Filtering	2024	6	.pdf	application/pdf	3372	176	54	Although wavelet transform to achieve noise reduction in specific environments, it is necessary to manually select the wavelet base and noise reduction threshold according to the differential noise in different environments, which lacks adaptability. Therefore, the high and low frequency filtering algorithm based on CEEMDAN proposed in this article has good application value for noise reduction of speech signals acquired in the train environment of fully mechanized mining face equipment, and is beneficial to improving the accuracy of subsequent speech recognition.	cache/fcis-18737.pdf	txt/fcis-18737.txt