The National Science Foundation undertaking is called The Listening Machine Project.
But for years Lab ROSA has been experimenting with ways to analyze music tracks via computer systems or "machine learning." Right now big services like Pandora rely on trained musicologists to build and expand its vast music genome-a database of characteristics that the company taps into to decide what to suggest for you next. Why is this windfall suddenly at everyone's disposal? A critical mass of Internet music industry folk and academic researchers say it's needed to get to the next level in online audio services.
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And the Holy Grail is to use this treasure trove to develop a new generation of Music Information Retrieval services-venues that pay attention to what you are listening, analyze the components, and offer up new songs and compositions that you'll like.Īnd that "freely available" bit means that you can download the dataset here. The dataset is "freely-available collection of audio features and metadata for a million contemporary popular music tracks," being analyzed by Columbia University's Lab ROSA, aka the Laboratory for the Recognition and Organization of Speech and Audio.
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The next phase in research on how to deliver smart music delivery systems is underway, facilitated by a Million Song Dataset just released by The Echo Nest music application company. Online music developers and Pandora and Last.fm lovers, take note.
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