Toni Heittola
Machine Learning Lead at RESONIKS
Tampere, Pirkanmaa, Finland
Summary
👤
Senior🎓
Top SchoolToni Heittola is a Machine Learning Lead and researcher with two decades of deep expertise in audio content analysis, signal processing, and building scalable ML systems for real-world applications. Based in Tampere, Finland, he has led projects across smart city analytics, healthcare monitoring, and acoustic monitoring—bridging academic research with production deployments using PyTorch, Kubernetes, and edge/server prototypes. His work on Computational Auditory Scene Analysis and sound event detection combines foundational research, open dataset creation, and community building (notably helping grow the DCASE research community) to set benchmarks in the field. Toni’s background spans hands-on prototype deployment (RPi/Linux), zero-shot learning for audio, and practical solutions for loudspeaker nonlinearities, revealing a knack for turning niche audio science into deployable systems.
10 years of coding experience
21 years of employment as a software developer
Master of Science (MSc) Signal Processing (Speech and Audio), Master of Science (MSc) Signal Processing (Speech and Audio) at Tampere University of Technology 1965-2018Doctor of Science in Technology Computing Sciences, Doctor of Science in Technology Computing Sciences at Tampere University
English, Finnish, Swedish, German
Github Skills (27)
jquery-plugin10
javascript10
spectrogram10
evaluation10
toolbox10
classification10
signal-processing10
machine-learning10
mir10
audio-classification10
datatable10
dtw10
datasets10
pitch10
html-table10
Programming languages (6)
Github contributions (5)
toni-heittola/pelican-brepository
Jan 2017 - Feb 2020
Contributions:17 commits, 12 pushes, 2 branches in 3 years 1 month
toni-heittola/dcase_glossary
Mar 2019 - Feb 2025
Contributions:28 pushes, 1 branch in 5 years 11 months
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