News articles

Kaggle in Class competition on acoustic scene classification

We have launched a Kaggle in Class competition on acoustic scene classification as part of TUT course. Competition is open for everybody whether you are participating the TUT course or not.

Python library, dcase_util, for DCASE research released

dcase_util, a python library for DCASE researcher to streamline the research code, make it a bit more readable and easier to maintain, has been released.

DCASE2017 Workshop

Second DCASE2017 workshop is help 16 - 17 November 2017, Munich, Germany. The workshop collects many international researchers working on computational analysis of sound events and scene analysis from both academia and industry. Proceedings of the presented works are now published.

Computational Analysis of Sound Scenes and Events book published

New book "Computational Analysis of Sound Scenes and Events" published. I have contributed to two chapters in this book.

DCASE2017 Challenge

Our research group is again one of the organizing team of the DCASE 2017 challenge, and I am acting as the task coordinator for three challenge tasks: Acoustic scene classification, Detection of rare sound events, and Sound event detection in real life audio.

Listening Experiment for Acoustic Scene Recognition

We are currently conducting a listening experiment for acoustic scene recognition. This test is supporting the result analysis of DCASE2016 challange task for acoustic scene recognition.

DCASE2016 Workshop

First DCASE2016 workshop was help 3rd of September 2016 at Budapest, Hungary. The workshop collected many international researchers working on computational analysis of sound events and scene analysis from both academia and industry. Proceedings of the presented works are now published.

DCASE2016 Challenge

Our research group was part of an organizing team of the DCASE (Detection and Classification of Acoustic Scenes and Events) 2016 challenge, and I acted as one of the task coordinator for two challenge tasks: Acoustic scene classification and Sound event detection in real life audio.

TUT Acoustic Scenes and Sound Events Datasets

Our research group has published open datasets to support the development of acoustic scene classification and sound event detection approaches.