Audio Feature Extraction

Audio feature extraction is the process of analyzing audio signals to identify key characteristics that can be used for various applications, such as music classification, speech recognition, or sound identification. It involves breaking down the audio into measurable components, like pitch, tempo, and frequency patterns, which are then transformed into numerical data. This data helps algorithms to understand and differentiate sounds, enabling machines to recognize speech, identify songs, or even detect emotions in voice. Essentially, it converts sound into a format that computers can analyze and learn from effectively.