High-frequency Noise Removal of Vintage Songs in Audio Cassettes using Signal Processing Techniques


 From 1960 to the early 2000s, audio cassette was one of three most used storage devices for prerecorded music, alongside gramophone records (LPs) and compact discs (CDs). A consists two miniature spools, between which a magnetic tape is passed wound. The head in recorders players store play tracks these tapes by converting electric signal fluctuation vice versa. sound quality an track recorded on decent. However, as cassettes are stored Earth’s field longer periods, effect from it influences particles change their orientation distort signal. As result, high-frequency noise generated signal, resulting great disturbance when listening songs other recordings vintage cassettes.
 168Therefore, removal such noises while minimizing impact original will make sure listener gets enjoy recordings. Fourier transform given distorted file (in “wav” format) obtained identify using Wolfram Mathematica 12.3. Then variable “m” introduced program magnitudes components remove recording. trial-and-error approach taken adequate “m" value each channel Vintage were evaluate accuracy developed method this study. It identified that suitable changes song. Therefore, impossible state constant “m”. output also depends hearing frequency person, equipment being used. application, technique can be conserve originally because allows user control number removed signal.
 Keywords: Signal Processing Techniques, Transforms, Mathematica, Noise Removing,Audio Cassettes