Audio classification is a process in machine learning and artificial intelligence that involves categorizing audio signals into predefined classes or labels. This technique typically utilizes features extracted from audio data, such as frequency, amplitude, and duration, which are then analyzed by algorithms to identify patterns. Common use cases include speech recognition, music genre classification, and environmental sound detection. Audio classification can be implemented in various applications, such as virtual assistants, music streaming services, and security systems. By leveraging deep learning models, audio classification systems can achieve high accuracy and efficiency in distinguishing between different audio types.
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