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, images, sensor data, texts, or even the Internet).
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. Further research topics include biometrics, cryptography, personalization, and recommender systems.
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.
Guideline for Using the zoom Platform for Distance Learning
for Courses by the Institute of Computational Perception
Please klick the link below for Guideline for Using the zoom Platform for Distance Learning
JKU cancels in-person classes as of 11 March until further notice!
From 11.3.2020 onwards, no courses and examinations with physical presence will be held in all studies and courses at the JKU
Top Ranks for CP Teams in the DCASE 2020 Challenge
CP Team members Khaled Koutini, Florian Henkel, Paul Primus, Verena Haunschmid, Hamid Eghbal-zadeh. and Gerhard Widmer achieve top ranks in the DCASE 2020 Acoustic Event Detection and Classification Challenge!
In scope of the AI x Music Matinée that took place at the Ars Electronica Festival 2019, cp.researcher Christine Bauer and former cp.researcher Peter Knees gave a talk on music information retrieval. A video of this recording is now online at Dorf.tv
Video (beginning min 25:45)