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Institute of Computational Perception
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Welcome to the Institute of Computational Perception!


We are a (still) young and growing institute with innovative projects and motivated young researchers. The focus of our research and teaching is on Artificial Intelligence and Machine Learning. We develop and study computational models and algorithms that permit computers to perceive and 'understand' aspects of the external world, where we interpret 'perception' in the widest sense of the word, as the extraction of useful high-level information and knowledge from complex, possibly low-level data (audio, video, image, text, sensor data, and user-item interaction data).

This requires fundamental and applied research on AI, machine learning, pattern recognition, text / data / social media mining, signal processing, statistical data modeling and classification.

Our current research has a particular focus on intelligent audio and music processing. In particular, we are among the leading research groups worldwide in the fields of Music Information  Research (MIR), Sound and Music Computing (SMC), and Acoustic Scene & Event Recognition (DCASE). Further research topics include image processing, biometrics, cryptography, and personalization.

Embedded within the Institute of Computational Perception, the Multimedia Mining and Search (MMS) and Human-centered Artificial Intelligence (HCAI), opens an external URL in a new window groups particularly target the research topics of Recommender Systems (RS), Information Retrieval (IR), Natural Language Processing (NLP), and Affective Computing, with a strong focus on ethical considerations (e.g., aspects of fairness, explainability, and trustworthiness of AI technology).

Our goal is to offer state-of-the-art research and teaching in this area, and to provide a teaching environment that permits students to get involved in real research projects as early as possible.

If you want to visit us: we have offices both in Linz and in Vienna (see box to the right).


Logo Institue of Computational Perception


Johannes Kepler Universität Linz
Altenberger Straße 69
4040 Linz


Science Park 3, 4th floor (Linz)
Wiesingerstr. 4, 2nd floor (1010 Vienna)


Monday-Thursday: 7.30 AM - 3:00 PM


+43 732 2468 4700 (Linz)
+43 664 602468478 (Vienna)

News & Events

News 29.03.2024

Invitation to Kick-off symposium of "Spirits" project at 5th of April, 2024

Making kin with experimental music systems

News 13.11.2023

PAOW! a live stream of music generation experiments

Music generation comes in many forms, some quiet, some off-kilter, and some which are researched and taught at the Institute of Computational Perception. To showcase the latter work, we created a live stream starring our computer-controlled grand piano. Each Wednesday (roughly) at 6 pm CET (even more roughly), we stream an experiment in music generation from our lab in Vienna. For an hour, you are invited to witness the peculiar things this grand piano can be made to do. Each experiment is accompanied by some code available on the PAOW! github repository which lets you reproduce what is happening.

The experiments vary wildly, from generative transformers to testing limits of the physical capabilities of the grand piano. Sometimes they are enhanced with non-piano sounds, sometimes visually controlled, they can be interactive or feature very simple ideas played from fixed (MIDI) media.

We're always looking for fresh ways to expand this list and contributions are very welcome! There are few limits to what can be done in PAOW!: as long as it involves controlling the grand piano with some kind of code, we'll try it. If you're interested in hearing your own experiment on the grand piano, please send us an email.

Of course, no work is required and you're also very welcome to just listen in or subscribe and click the bell to receive notifications about current streams.

This project is supported by the European Research Council (ERC), under the European Union's Horizon 2020 research and innovation programme under grant agreement No 101019375 (Whither Music?).