Tutorial MIR at the Scale of the Web
On the first day of the 10th International Society for Music Information Retrieval Conference (ISMIR) Malcolm Slaney and I gave a tutorial on music information retrieval methods that scale to millions, or even billions of items. Topics covered included random hashing, reliable tagging, machine learning methods, hybrid machine-learning and hashing algorithms, and software systems for scaling up MIR research and applications.
Software we discussed:
AudioDB Code (Feature Indexing via Locality Sensitive Hashing)
Hadoop Code
Vowpai Rabbit Algorithm and Code
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