Title:
Separation and Analysis of Multichannel Signals

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dc.contributor.advisor Essa, Irfan
dc.contributor.author Parry, Robert Mitchell en_US
dc.contributor.committeeMember Basu, Sumit
dc.contributor.committeeMember Bobick, Aaron
dc.contributor.committeeMember Ellis, Dan
dc.contributor.committeeMember Isbell, Charles
dc.contributor.committeeMember Weinberg, Gil
dc.contributor.department Computing en_US
dc.date.accessioned 2008-02-07T18:15:05Z
dc.date.available 2008-02-07T18:15:05Z
dc.date.issued 2007-10-09 en_US
dc.description.abstract Music recordings contain the mixed contribution of multiple overlapping instruments. In order to better understand the music, it would be beneficial to understand each instrument independently. This thesis focuses on separating the individual instrument recordings within a song. In particular, we propose novel algorithms for separating instrument recordings given only their mixture. When the number of source signals does not exceed the number of mixture signals, we focus on a subclass of source separation algorithms based on joint diagonalization. Each approach leverages a different form of source structure. We introduce repetitive structure as an alternative that leverages unique repetition patterns in music and compare its performance against the other techniques. When the number of source signals exceeds the number of mixtures (i.e. the underdetermined problem), we focus on spectrogram factorization techniques for source separation. We extend single-channel techniques to utilize the additional spatial information in multichannel recordings, and use phase information to improve the estimation of the underlying components. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/19743
dc.publisher Georgia Institute of Technology en_US
dc.subject Source separation en_US
dc.subject Independent component analysis en_US
dc.subject Audio processing en_US
dc.subject Unsupervised learning en_US
dc.subject Time-frequency rerpesentations en_US
dc.subject.lcsh Music
dc.subject.lcsh Sound Recording and reproducing
dc.subject.lcsh Source separation (Signal processing)
dc.title Separation and Analysis of Multichannel Signals en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Essa, Irfan
local.contributor.corporatename College of Computing
relation.isAdvisorOfPublication 84ae0044-6f5b-4733-8388-4f6427a0f817
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
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