Dear all,
I'm very pleased to announce another Digital music seminar at C4DM.
On Wednesday 9th April, Peter Knees will be talking about "nepTune -
Exploring Music Collections in Virtual Landscapes".
The seminar will take place at 16:00 on Wednesday 9th April in room
105 in the Electronic Engineering Department, Queen Mary, University
of London, Mile End Road, London E1 4NS. Directions of how to get to
Queen Mary are available at http://www.elec.qmul.ac.uk/research/
seminars/ as are details of future seminars. The room is under access
control, so people from outside QM will need to contact C4DM to get
in - the lab phone number is +44 (0)20 7882 7986 and if I'm not
available, anyone else in the lab should be able to help. If you are
coming from outside Queen Mary's, please let me know, so I can make
sure no-ones stuck outside the doors...
All are welcome to attend. If you wish to be added to / removed from
our mailing list, please send me an email and I'll be happy to do so.
If you are unable to attend, we are intending to web-stream the
seminar. Details on how to receive the stream are available at http://
www.elec.qmul.ac.uk/research/seminars/index.html as are videos of
previous seminars.
Next seminar:
-------------------
"nepTune - Exploring Music Collections in Virtual Landscapes"
16:00 Wednesday 9th April 2008
Peter Knees
Department of Computational Perception, Johannes Kepler University Linz
Abstract:
The talk will cover methods to automatically build a search engine
for large-scale music collections that can be queried through natural
language text input. While most existing approaches depend on
explicit manual annotation and meta-data assigned to the individual
audio pieces, the presented system derives descriptions automatically
by building upon methods from Web Retrieval and Music Information
Retrieval. Using the information found in the ID3 tags of a
collection of mp3 files, relevant Web pages are retrieved via Google
queries and used to characterise the music pieces. The additional use
of acoustic similarity allows for describing audio pieces with no
associated Web information and improves retrieval performance.
In the course of the talk, I will discuss different approaches to
build the music piece representations and to query the system.
Furthermore, I will demonstrate the ability of the approach to
incorporate relevance feedback to improve search results, i.e. to
accommodate to the user's preferences based on the user's choices.
If you'd like to present a seminar at C4DM, please get in touch, and
we'll see what we can do.
Steve Welburn
--
Centre for Digital Music (C4DM)
Electronic Engineering Department
Queen Mary, University of London
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Tel: +44 (0)20 7882 7986
Fax: +44 (0)20 7882 7997
C4DM Web-site : http://www.elec.qmul.ac.uk/digitalmusic/index.html
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