Pipeline for Pre-processing of Audio Data

All machine learning pipeline needs a set of fixed procedure to be followed such as data collection, pre-processing, feature extraction, model training, and testing to name a few. And every procedure should be followed without which the results gained at the end implementation may vary from desired output or may cause inaccuracy. Every research or review paper focuses mainly on the model implementations or algorithms or results or performance but there are very few papers that discuss about the initial procedure of the pipeline such as pre-processing. Being one of the most important steps in the pipeline, this topic is either mentioned in a line or a paragraph in every paper. Here in this paper, pre-processing will be discussed and explored to its depth.