Hi All,
Tomorrow we will have a very interesting talk by our own Michael Mandel. Hope to see you all there.
Date -- Time: Wednesday July 28th, 2010 -- 15h00 (Tomorrow!) Location: AA3195
Title: Learning tags that vary within a song
Abstract: This paper examines the relationship between human generated tags describing different parts of the same song. These tags were collected using Amazon's Mechanical Turk service. We find that the agreement between different people's tags decreases as the distance between the parts of a song that they heard increases. To model these tags and these relationships, we describe a conditional restricted Boltzmann machine. Using this model to fill in tags that should probably be present given a context of other tags, we train automatic tag classifiers (autotaggers) that outperform those trained on the original data.
Joint work with Douglas Eck and Yoshua Bengio.
To be presented at ISMIR 2010.
Cheers, Aaron