利用信号处理技术去除磁带中古歌的高频噪声

M. M. P. M. Fernando, N. K. Kularathne
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摘要

从1960年到21世纪初,录音带是三种最常用的预先录制音乐的存储设备之一,另外两种是留声机唱片(lp)和光盘(cd)。紧凑的盒式磁带由两个微型线轴组成,在线轴之间传递和缠绕磁带。磁带录音机和卡式录音机中的磁带头是通过将电信号转换为磁波动来存储和播放这些磁带中的音轨的,反之亦然。录在小型卡带上的音轨的音质还不错。然而,由于这些磁带在地球磁场中储存的时间较长,它的作用会影响磁性粒子改变它们的方向,并扭曲录制的音频信号。因此,音频信号中产生高频噪声,在老式磁带上收听歌曲和其他录音时产生很大的干扰。因此,在尽量减少对原始音频信号影响的同时,消除这些噪声将确保听者能够享受到原始音频录音的质量。利用Wolfram Mathematica 12.3对给定的失真音频文件(wav格式)进行傅里叶变换,识别高频噪声。然后,在程序中引入一个变量“m”来识别高频分量的幅度,并消除它们对原始音频记录的影响。采用试错方法来确定给定音频信号的每个通道的适当“m”值。本研究以古典歌曲为研究对象,对该方法的准确性进行了评价。确定了每首歌曲中每个通道的合适“m”值变化。因此,不可能为变量“m”声明一个恒定值。然而,输出的准确性也取决于人的听力频率,以及所使用的音频设备。作为一种应用,这种技术可以用来保存最初存储在小型磁带和线轴中的老式歌曲,因为它允许用户控制从扭曲的音频信号中去除的高频成分的数量。关键词:信号处理技术,傅里叶变换,Mathematica,去噪,录音带
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-frequency Noise Removal of Vintage Songs in Audio Cassettes using Signal Processing Techniques
From 1960 to the early 2000s, the audio cassette was one of the three most used storage devices for prerecorded music, alongside gramophone records (LPs) and compact discs (CDs). A compact cassette consists of two miniature spools, between which a magnetic tape is passed and wound. The tape head in tape recorders and cassette players is used to store and play audio tracks in these magnetic tapes by converting the electric signal to a magnetic fluctuation and vice versa. The sound quality of an audio track recorded on a compact cassette is decent. However, as these cassettes are stored in the Earth’s magnetic field for longer periods, the effect from it influences magnetic particles to change their orientation and distort the recorded audio signal. As a result, high-frequency noise is generated in the audio signal, resulting in a great disturbance when listening to songs and other audio recordings on vintage cassettes. 168Therefore, the removal of such noises while minimizing the impact on the original audio signal will make sure the listener gets to enjoy the original quality of the vintage audio recordings. Fourier transform of a given distorted audio file (in “wav” format) was obtained to identify the high-frequency noise using Wolfram Mathematica 12.3. Then a variable “m” was introduced to the program to identify magnitudes of high-frequency components and remove their effect on the original audio recording. A trial-and-error approach was taken to identify the adequate “m" value for each channel of a given audio signal. Vintage songs were used to evaluate the accuracy of the developed method in this study. It was identified that the suitable “m” value changes for each channel in each song. Therefore, it is impossible to state a constant value for the variable “m”. However, the accuracy of the output also depends on the hearing frequency of the person, and the audio equipment being used. As an application, this technique can be used to conserve vintage songs that were originally stored in compact cassettes and spools, because it allows the user to control the number of high-frequency components removed from the distorted audio signal. Keywords: Signal Processing Techniques, Fourier Transforms, Mathematica, Noise Removing,Audio Cassettes
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