Machine Learning: Crash Course In Audio Classification

Audio classification is a process of categorizing audio files into categories according to shared features. It involves converting raw audio signals to digital representations, extracting relevant features such as amplitude, frequency, and time domain characteristics, and using machine learning algorithms to make predictions. The field has applications in various areas, including speech recognition, music classification, environmental sound detection, natural language processing, and noise-canceling, with deep learning approaches providing automatic feature extraction and improved accuracy.