About Me

Toni Heittola
Researcher, Msc.

Tampere University


Hervanta Campus / Tietotalo, Room TC338



I am a doctoral researcher at Tampere University (TAU), previously known as Tampere University of Technology (until 2018). My primary research interest is in content analysis of audio signals, and in recent years I have been focusing especially on environmental audio. During the years, I have worked on numerous academic and industrial projects related to the content analysis of audio signals. In my free time, I like to play basketball and develop various personal software and electronics projects.


My current research topics include automatic sound event detection, acoustic scene classification, and auditory scene synthesis. I have worked on various research topics related to audio signal processing, audio classification, and audio content analysis since 2000 as a member of the Audio Research Group. In my master studies, I studied musical genre classification and other music classification problems. Later, I concentrated a few years on musical instrument classification in a multi-source situation. More recently, I have studied topics that fall under the Computational Auditory Scene Analysis, for example, sound event detection in multi-source situations.

DCASE Challenges and Workshops

The Audio Research Group from TAU has been part of organizing teams of the last Detection and Classification of Acoustic Scenes and Events (DCASE) evaluation campaigns and workshops: DCASE2016, DCASE2017 Challenge, DCASE2017 Workshop, DCASE2018 Challenge, and DCASE2019 Challenge. The DCASE aims to collect researchers interested in environmental sound classification and detection together under one community. This community offers a platform for discussion of the different perspectives and approaches, from algorithm development to practical applications and their commercial value. In DCASE2016 and DCASE2017, I acted as one of the task coordinators for the evaluation campaign (acoustic scene classification and sound event detection tasks), and publication chair for the workshop. In DCASE208 and DCASE2019, I acted as the task coordinator for the acoustic scene classification task. In the role of task coordinator, I have designed evaluation setups and evaluation metrics, prepared the public datasets, and implemented the baseline systems. This work has resulted in many public datasets, reference systems, and evaluation metric implementations. In addition to this, I also act as a webmaster for the community website.


I have worked in numerous academic and industrial projects related to the content analysis of audio signals. In these projects, I have developed many prototype systems and research result demonstrators. Some of these are publicly available:

Other activity

Over the years, I have been involved on many student projects as a supervisor and supervised a few master thesis.