Artificial intelligence systems that rely on sound—such as voice assistants, autonomous navigation tools, healthcare diagnostics, and smart surveillance—are only as reliable as the datasets used to train them. In machine learning pipelines, audio datasets form the foundation for building models capable of recognizing speech, detecting acoustic events,...
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