Presentations of the professors and attendants of the ISMIR 2004 Graduate School



Graduate School mail list

ismir-graduate-school@iua.upf.es



 

 

Further questions about ISMIR2004?
Please contact: ismir2004@iua.upf.es


 

For any chage, suggestion or update in the Web page?
Please contact:
hsolis@iua.upf.es
aperez@iua.upf.es

 

The ISMIR 2004 Graduate School took place from Monday to Saturday, 10/04 to 10/09 at the Auditorium, França area UPF. Here you can download the slides and presentations of the participants.



Chairs of the graduate school:

Xavier Serra

xserra@iua.upf.es


Mark Leman

marc.leman@ugent.be


Teachers:
Papers that professors asked to read before the courses

Anssi Klapuri
klap@korppi.cs.tut.fi
Audio signal processing
Signal processing preliminaries
C
lassification
S
ound event detection and rhythmic parsing
Fundamental frequency estimation
Multiple-F0 estimation and music transcription

J. Stephen Downie
jdownie@uiuc.edu
Digital music libraries
Music Digital Library Lectures
Digital Libraries
Information Retrieval Basics

Frans Wiering
fransw@cs.uu.nl
Musicology
Counterpoint, harmony and polyphonic retrieval
Melodic Features and Retrieval
Musicology, Musical Similarity and Music Cognition
Music Notation and Encoding



Students:

Amaury Hazan
ahazan@iua.upf.es
Proposal
Rule induction for expressive music performance modeling


Andreas Finger

af@informatik.uni-rostock.de
Proposal
Implementation of content-based audio analysis in object-relational databases


Andrew Nesbit
andrew.nesbit@elec.qmul.ac.uk
Sound source separation for music remixing

The topic is still in high-level stages and I am currently formalising the research questions to answer and how I can evaluate such a technique. Normally, sound source separation is concerned with extracting discrete sources or instruments from a mix, for example, vocals or drums. I want to find methods for decomposing a mix into musical sounds which may, or may not, correspond to instruments used in performing this music in a one-to-one mapping. Indeed, the notion of `instruments' often does not make sense and I played one sample in the presentation to try to demonstrate this. Clustering techniques, among other things, are important here.

Furthermore, the simplest conceptual model is to separate the sources, process each of them and them remix them. I want to find ways in which sources be modified without having to explicitly separate them from the mix. This will have ramifications for the computational complexity of the system.

Finally, the blind source separation model seems to be the most popular framework for source separation. This is only one model, and it places very strong, artificial assumptions on the music. So, I am approaching the problem from the perspectives of auditory scene analysis and with consideration to some of the ways in which sound is assembled through the production process."


Anna P Pienimaki

apimmone@cs.Helsinki.FI

Proposal
Optimising MIR Systems Using Automatic Music Analysis Algorithms

We introduce in this proposal several ways to optimise the Music Information Retrieval process.


Audrey Laplante

audrey.laplante@mail.mcgill.ca
Proposal
Music Information-Seeking Behaviour of Nonspecialists: The Users’ Perspective

The aim of my research is to provide deep insights into music information behaviour of nonspecialists. Using the time-line method proposed by Brenda Dervin, I will conduct in-depth interviews with current and potential users of music digital libraries (MDL). Results should inform the design and development of MDL.


Benoit Catteau

Benoit.Catteau@elis.UGent.be

Proposal
Semantic description of Musical Audio with applications in audio-mining, interactive multimedia, and brain research.


Cinthia Levy

Cinthialevy@aol.com

Proposal
Retrieving Music and Sound: The Influence of User Creativity on Effective Design


Dominik Luebbers

luebbers@i5.informatik.rwth-aachen.de

Proposal
Logic-based Semantically Enriched Integration of Multi-Feature MIR


Esteban Maestre

emaestre@iua.upf.es

Proposal
Musical Expressivity Description


Eveline Heylen

Eveline.Heylen@UGent.be
Proposal
GOASEMA - Semantic Description of Musical Audio


Fernando William da Cruz

fwcruz@ucb.br

Proposal
A Brazilian Popular Music Oriented Digital Library for Musical Harmony E-Learning

This poster presents a digital library proposal conceived for a virtual community of people interested in acquiring knowledge about Brazilian popular music harmony, particularly in choro. This Brazilian musical style is a complex popular music form based on improvisation, although it contains classical music elements such as the counterpoint. We are proposing two ways of accessing the music virtual library content: a guided navigation mode, in which users interact with a cooperative Web-based learning system; and a free navigation mode, in which users can make their own queries, both through browsers or client applications. This digital library is intended also to be used in a web-based e-learning system.


Frederik Styns
frederik0507@hotmail.com
Proposal
Theoretical and Methodological Fundaments of Music Annotation

Developing methods, and underlying theories, for the description of musical content in te context of MIR.


Iasonas Antonopoulos
jantonop@di.uoa.gr
Proposal
Content Based Music Retrieval in the Context of Greek Traditional Music


Karin Dressler

dresslkn@idmt.fraunhofer.de

Proposal
Recognition and Analysis of Melodies from Polyphonic Musical Audio Data


Kris West

kristopher.west@uea.ac.uk

Proposal
Further Development of a Classifier for Musical Genre Classification and retrieval


Luis Gustavo Martins

lmartins@inescporto.pt

Proposal
Analysis and Recognition of Audio Oriented to Music Applications


Maarten Grachten

maarten@iiia.csic.es

Proposal
Respecting Expressivity under Global Musical Tempo Transformations

When a skilled musician performs a piece of music at (substantially) different tempos, the expressive characteristics of the performance (timing/dynamics deviations, but also the occurrence of ornamentations etc) are likely to change. These changes are not linear in general. We propose a system to apply the appropriate changes to the expressivity when transforming a performance to a different tempo, based on a set of example transformations. We restrict the music under consideration to monophonic recordings of jazz standards, played by saxophone.


Miguel A. Alonso A.

miguel.alonso@enst.fr

Proposal
Metrica Analysis of Musical Signals


Mitch Parry

parry@cc.gatech.edu

Proposal
Source Separation for Multichannel Music Audio

Instrument separation algorithms have been applied to monophonic and stereophonic audio. We propose leveraging the extra information in multichannel audio (i.e. DVD-Audio) for separating instruments.


Nicolas Wack

nwack@iua.upf.es

Proposal
Interactivity in audio browsing, for the user and the researcher

We try to describe a general abstract architecture encompassing all fields related to MIR and try to see how they could interact together by the means of software methods. The idea is to give the user the ability to play independently with each one of these categories in a dynamic way, in order for him to improve his research.


Ong Bee Suan

beesuan@iua.upf.es

Proposal
Music Structure Extraction for Music Summarization


Oscar Celma

ocelma@iua.upf.es

Proposal
Exploiting web content for enhancing semantic descriptions of music


Pau Arumi

parumi@iua.upf.es

Proposal
Actor-oriented models of computation for the sound and music domain


Paul Brossier

paul.brossier@elec.qmul.ac.uk
Proposal
Labelling audio objects in real time

The aim of this research is to use and investigate MIR algorithms in applications such as live interactive music installations. We focus on the extraction of onset times and of a melodic line bounded by these onsets. Applications range from feature driven effects to music dictation system.

Pedro J. Ponce de Leon

pierre@dlsi.ua.es

Proposal
Hybrid-cooperative systems for automatic composition and musical stye perception modeling.


Pierre Leveau

pierre-p.leveau@laposte.net

Proposal
Adapted representations of audio signals for music instrument recognition.


Sebastian Streich

sebastian.streich@iua.upf.es

Proposal
Estimating the Perceived Complexity of Music


Sylvain Le Groux

slegroux@iua.upf.es

Proposal
Extraction of relevant controllers for the analysis by synthesis of musical sounds.


Tim Pohle

tim.pohle@gmx.net

Proposal
Automatic Classification According to User-Defined Classes


Wen Xue

xue.wen@elec.qmul.ac.uk

Proposal
Object-oriented analysis of pitched musical audio.


Hugo Solís

hsolis@iua.upf.es


Alfonso Perez

aperez@iua.upf.es

 
Universitat Pompeu Fabra

Institut Universitari de l'Audiovisual