Audio search allows users to find relevant audio files using various inputs, such as text, audio snippets, or metadata. The system processes these inputs to extract features like pitch, rhythm, timbre, and even spoken content, converting them into vector representations for fast and accurate retrieval.
Applications of audio search include music discovery platforms, where users can search for songs using lyrics or melodies, podcast search engines, and audio file management tools. Advanced systems may even handle cross-modal queries, such as searching for audio based on textual descriptions.
Audio search enhances accessibility, enabling users to quickly find and explore large libraries of audio content with intuitive inputs.