Intelligent Noise Reduction for Violin Signals
Ratnesh Kumar Dubey, Manoj Kumar, Dr Salim Ahmad, Shubha Mishra, Suraj Sharma, Aravendra Kumar Sharma · 2024
Sound and music indexing, segmentation, noise reduction, signal augmentation, separation of speech and music signals, and instrument identification and classification have many real-world applications these days. They are necessary for generating information from stored databases or multimedia files. In order to create the data for analysis, these details are used. Due to the presence of several noisy environments inside the communication channel, information transmissions inevitably undergo signal interference as they travel across it. Here we provide three adaptive algorithms— LMS, NLMS, and RLMS—that can cancel out background noise on musical instruments. We will test their capabilities by feeding them signals from musical instruments that include noise, and then comparing the results. We use MATLAB to accomplish the task. Keywords: Adaptive algorithm, adaptive filter, noise cancellation, LMS, NLMS, and RLMS are all forms of adaptive optimization methodology.