Clustering Streaming Music via the Temporal Similarity of Timbre
| Title: | Clustering Streaming Music via the Temporal Similarity of Timbre |
|---|---|
| Authors: | Jacob Merrell; Dan Ventura; Bryan Morse |
| Contributors: | The Pennsylvania State University CiteSeerX Archives |
| Source: | http://axon.cs.byu.edu/papers/merrell.ijcai07.pdf. |
| Collection: | CiteSeerX |
| Description: | We consider the problem of measuring the similarity of streaming music content and present a method for modeling, on the fly, the temporal progression of a song’s timbre. Using a minimum distance classification scheme, we give an approach to classifying streaming music sources and present performance results for auto-associative song identification and for content-based clustering of streaming music. We discuss possible extensions to the approach and possible uses for such a system. 1 |
| Document Type: | text |
| File Description: | application/pdf |
| Language: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.1462; http://axon.cs.byu.edu/papers/merrell.ijcai07.pdf |
| Availability: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.1462; http://axon.cs.byu.edu/papers/merrell.ijcai07.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Accession Number: | edsbas.7DFD451 |
| Database: | BASE |