Machine Learning in Audio

Machine learning in audio involves teaching computers to understand and analyze sounds by recognizing patterns within audio data. Through analyzing vast amounts of recordings, the system learns to identify features like speech, music, or noise. Once trained, it can perform tasks such as transcribing speech, identifying speakers, detecting sounds, or enhancing audio quality automatically. This process enables devices like voice assistants, transcription services, and audio editing tools to work efficiently and accurately without manual intervention, making interactions with sound more intelligent and responsive.