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Institute of Computational Perception
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Funded Projects


European Research Council

WHITHER MUSIC?
Exploring Musical Possibilities via Machine Simulation

2022 - 2026

European Research Council

CON ESPRESSIONE:
Towards Expressivity-aware
Computer Systems in Music

2016 - 2021

European Research Council


European Commission

Artificial Intelligence for the Society and the Media Industry (AI4Media)

2020 - 2024

European Commission (H2020 program)
Developing the Scientific Foundations for Trustworthy AI (TAILOR)
2020 - 2023     European Commission (H2020-ICT program)

 

EU
Magnetoelectrics Beyond 2020       

2019 - 2023

European Commission

 

New Frontiers in Music Information Processing

2018 - 2022

European Commission

GiantSteps – Seven League Boots for Music Creation and Performance

2013 - 2016

European Commission

Performances as Highly Enriched aNd Interactive Concert eXperiences (PHENICX)

2013 - 2016

European Commission


Austrian Science Fund, FWF

Intent-aware Music Recommender Systems
2023 - 2027          Austrian Science Fund (FWF)

 

FWF Logo
A Music Information Retrieval Approach to Pop Music Culture
2023 - 2026            Austrian Science Fund (FWF)

 

FWF Logo
Human-centered Artificial Intelligence
2022 - 2025            Austrian Science Fund (FWF)

 

FWF Logo
Humans and Recommender Systems: Towards a Mutual Understanding
2021 - 2024           Austrian Science Fund (FWF)

 

On Valid and Reliable Experiments in Music Information Retrieval

2019 - 2023

        Austrian National Science Foundation (FWF)

 

Dust and Data – The Art of Curating in the Age of Artificial Intelligence

2019 - 2021

Austrian Science Fund (FWF)

 

Computer-assisted Analysis of Herbert von Karajan's Musical Conducting Style

2017 - 2020

Austrian Science Fund (FWF)

Fine-grained Culture-aware Music Recommender Systems

2017 - 2020

Austrian Science Fund (FWF)

Artificial Intelligence and Music

2010 - 2017

Austrian Science Fund (FWF)
"Wittgenstein Prize", opens an external URL in a new window

Culture- and Location-aware Music Recommendation and Retrieval
2016

Austrian Science Fund (FWF) and
Ministry of Science and Technology, Taiwan (MOST)

Social Media Mining for Multimodal Music Retrieval

2013 - 2016

Austrian Science Fund (FWF)

Personalized Music Retrieval via Music Content, Music Context, and User Context

2010 - 2013

Austrian Science Fund (FWF)

Computational Music Performance Research, Applied 

2010 - 2013

Austrian National Science Foundation (FWF)
Research Line "Translational Research"

Music Retrieval Beyond Simple Audio Similarity 

2008 - 2011

Austrian National Science Foundation (FWF)
Research Line "Translational Research"

Computational Performance Style Analysis from Audio Recordings 

2007 - 2010

Austrian National Science Foundation (FWF)

Operational Models of Music Similarity for Music Information Retrieval

2005 - 2008

Austrian National Science Foundation (FWF)
Research Line "Translational Research"

Computer-Based Music Research: Artificial Intelligence Models of Musical Expression

1999 - 2005

Austrian National Science Foundation (FWF)
START Research Prize


Austrian Research Promotion Agency, FFG

Fairness-aware Alrgorithmic Decision Support Systems

2023 - 2326                            FFG (COMET)

FFG
Certification Framework for Fair AI Systems

2023 - 2326                            FFG (COMET)

FFG
Theory-inspired Recommender Systems

2019 - 2022

FFG (COMET)

 

Deep Learning for Symbiotic Mechatronics

2018 - 2021

Österreichische
Forschungsförderungsgesellschaft (FFG)

Deep Learning and Sensor Fusion

2017 - 2020

Österreichische
Forschungsförderungsgesellschaft (FFG)

Strategic FExFE Project on Deep Learning

2015 - 2018

Österreichische
Forschungsförderungsgesellschaft (FFG)

AllThatSounds

2005 - 2008

Österreichische
Forschungsförderungsgesellschaft (FFG)


Linz Institute of Technology

Fair Representation Learning with Fine-grained Adversarial Regulation of Bias Flow (FAIRFLOW)
2022 - 2024  

 

LIT Logo
Mitigating Gender Bias in Job Recommender Systems: A Machine Learning-Law Synergy (TIMELY)
2021 - 2024

 

LIT
Melody of Crisis/Joy
2022            Special LIT Call for the Ars Electronica Festival 2022

 

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Black Holes of Popularity
2022             Special LIT Call for the Ars Electronica Festival 2022

 

     

LIT-Logo
Music Tower Blocks: Mood-aware Music Exploration and Recommendation
2021                 Special LIT Call for the Ars Electronica Festival 2021

 

Industry

Information-theoretic Models of Music
2021 - 2024            Sony Computer Science Laboratories, Paris

 

Sony CSL Lange
Lessons Learned: Web Services
2021                      Siemens Energy AG

 

Python Model Deployment via Web Service

2019-2020 

 Siemens  AG

 

Text Analysis for Lessons Learned

2019-2020

Siemens AG

 

 


Others

eInformatics@Austria  

2020-2024              

Austrian Federal Ministry of Education, Science, and Research

 

Learning the Structure of Music

2006 - 2010

Engineering and Physical Sciences
Research Council (EPSRC), UK

Clouds of Music

2006 - 2007

ImpulsProgramm creativwirtschaft

Interfaces to Music (I2M)

2004 - 2007

Vienna Science and Technology Fund (WWTF)
Research Line "Science for Creative Industries":


Internal Projects

CoMIRVA - Collection of Music Information Retrieval and Visualisation Applications
A framework for Java-implementations of vars algorithms concerning music and multimedia.

 

The nepTune Interface
Exploring music collections in virtual reality island landscapes.

 

Mirage
An Automatic Playlist Generation Plugin for Banshee.

 

The Intelligent iPod
Introducing automatic "intelligent" arrangement of tracks on an iPod.

 

Sound / Tracks
Synaesthetic sonification of train journeys in real-time.

 

AGMIS
An Automatically Generated Music Information System.

 

Disc-JoQey
A Semi-Automatic Application to Segment and Tag Recordings from Vinyls.

 

ISMIR Cloud Browser
A web-interface to facilitate content-based access to the ISMIR proceedings, relying on Latent Semantic Analysis.

 

Music Tweet Map
A visualization and exploration tool for music listening behaviour as observed via Microblogs.

 

Mobile Music Genius
An intelligent mobile music player that aims at learning in which situation and mood the listener wants to listen to which kind of music.