微型电脑应用

针对背景音乐在实际播放时,相邻段的背景音乐会出现部分重叠,存在部分的信息量丢失,导致播放出的背景音乐存在噪声,研究基于特征识别的背景音乐音质提升与应用。利用特征识别背景音乐音质特征,采用交叠分段的处理方法,多次处理重叠部分的背景音乐,减少重叠背景音乐的信息量丢失,计算背景音乐播放时的初始时延间隙,选择音质参数并确定参数适宜值区间值,完成对背景音乐的提升。实验选用一个封闭的观众厅作为实验场所,设定测试点,测量测试点混响时间,使用两种传统音质提升方法与之进行对比实验,结果表明文中提出的音质提升方法抑制噪声的效果最好。

In the actual playing of background music, the background music of adjacent segments overlaps partially, and there is some information loss, which leads to the noise in playing background music. This paper studies the improvement and application of background music quality based on feature recognition. The scheme presented is to use the feature recognition background music quality feature and the overlapping segmentation processing method to process the overlapping part of the background music many times, reduce the information loss of the overlapping background music, calculate the initial delay interval when the background music is playing. It selects the sound quality parameters and determines the appropriate interval value of the parameters to complete the promotion of the background music. In the experiment, a closed auditorium is chosen as the experimental site, the test point is set, the reverberation time of the test point is measured, and two traditional methods of improving the sound quality are used to carry out the contrast experiment. The results show that the method proposed in this paper improves the sound quality, and has the best effect of suppressing noise.