Audio Classification with PyTorch
摘要
This chapter will introduce you to the fascinating world of audio processing and classification using machine learning. We will embark on a journey that begins with the fundamentals of sound and goes on to build two complete, practical projects. We’ll start by exploring the physics of sound on a high level – how vibrations create sound waves – and how computers "hear" by digitizing these waves into a numerical format. You will then learn a crucial technique in modern audio AI: transforming raw audio waveforms into Mel spectrograms, which are powerful, image-like representations that make sounds much easier for ML models to classify.