Audio classification is the process of listening to and analyzing audio recordings. Also known as sound classification, this process is at the heart of a variety of modern AI technology including virtual assistants, automatic speech recognition, and text-to-speech applications. You can also find it in predictive maintenance, smart home security systems, and multimedia indexing and retrieval.

Audio classification projects like those mentioned above start with annotated audio data. Machines require this data to learn how to hear and what to listen for. Using this data, they develop the ability to differentiate between sounds to complete specific tasks. The annotation process often involves classifying audio files based on project-specific needs through the help of dedicated audio classification services.

In this article, we look at four types of classification and related use-cases for each.

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