machine learning in acoustics

Machine learning in acoustics involves teaching computers to understand and analyze sound patterns. By providing large amounts of audio data, the system learns to recognize specific sounds, speech, or environmental noises without being explicitly programmed for each task. For example, it can identify spoken words, classify different types of music, or detect environmental hazards like gunshots or sirens. This process allows devices like voice assistants, hearing aids, and audio monitoring systems to interpret sound intelligently, improving their performance and enabling new applications in communication, safety, and research.