Summarizing Musical Preferences as Audio Signatures
نویسنده
چکیده
iTunes Signature Maker (iTSM) uses a feature-driven audio editing algorithm to rapidly generate a short sonic signature of an iTunes music library. iTSM stitches together small segments of songs, driving a concatenative algorithm with spectral features intrinsic to the audio files themselves and with environmental features which describe how those files have been used. This paper describes the software’s implementation in relation to the project’s objectives: accessibility to a broad audience, accurate representation of users’ musical preferences, and interesting and enjoyable results.
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