![[Search]](/static/images/search.gif){kind=small}
![[A-Z Index]](/static/images/az.gif){kind=small}
![[Contact]](/static/images/contact.gif){kind=small}
![[University of Cambridge]](/static/images/identifier2.gif){kind=small}
![[Talks.cam]](/static/images/talkslogosmall.gif)
Friday 20 July 2007, 14:00-15:00
Machine Learning Methods for Monaural Sound Source Separation
- đ¤ Speaker: Tuomas Virtanen
- đ Date & Time: Friday 20 July 2007, 14:00 - 15:00
- đ Venue: Engineering Department, Baker Building, Division F meeting room, 5th floor
Questions? Contact
Taylan Cemgil
Abstract
This presentation covers recent advances in monaural sound source separation which are based on decomposing spectrograms into a sum of non-negative parts. These methods include non-negative matrix factorization and its extensions.
Series This talk is part of the Audio and Music Processing (AMP) Reading Group series.
Included in Lists
- All Talks (aka the CURE list)
- Audio and Music Processing (AMP) Reading Group
- bld31
- Cambridge talks
- Cambridge University Engineering Department Talks
- Centre for Smart Infrastructure & Construction
- Computational Continuum Mechanics Group Seminars
- Engineering Department, Baker Building, Division F meeting room, 5th floor
- Featured lists
- Interested Talks
- School of Technology
- Trust & Technology Initiative - interesting events
- yk449
Note: Ex-directory lists are not shown.