معرفی
Mikko Kurimo is a Full Professor at Aalto University's Department of Information and Communications Engineering, School of Electrical Engineering. He earned his M.Sc., Lic.Tech., and D.Sc.(Tech.) from Helsinki University of Technology (1992, 1994, 1997) and pioneered neural networks for automatic speech recognition (ASR) in his PhD thesis. After research roles at IDIAP (Swiss AI center) and visiting positions at University of Colorado, Edinburgh, SRI, ICSI, and Nitech, he leads Aalto's ASR group since 2000. His work focuses on unsupervised subword modeling for morphologically complex languages (Finnish, Estonian, Turkish, Arabic) and large speech foundation models.
- PhD in Neural ASR (Helsinki University of Technology, 1997)
- Research Scientist at IDIAP (Switzerland)
- Visiting Fellow at University of Colorado, Edinburgh, SRI, ICSI, Nitech
- Head of Aalto ASR Group (2000-present)
His research spans deep learning for ASR, spoken language modeling, and low-resource language solutions. Recent work explores continued pre-training of self-supervised models, multimodal emotion recognition, and pronunciation assessment using LLMs. He led the winning team in the 2017 Multi-Genre Broadcast challenge and secured competitive funding in Tekes Challenge Finland and EC's H2020-ICT-2017.
Key article trends include:
- Advancements in children's speech recognition and dysarthric speech processing
- Integration of generative AI for language learning feedback
- Specialization in low-resource Uralic languages (Finnish, Northern Sámi)
- Development of robust ASR systems for complex phonetic environments
Scientific Awards
- ACM Multimedia 2023 Computational Paralinguistics Challenge Prize
- First place in MGB3 2017 Arabic ASR Challenge
- ISCA Best Student Paper Award (2011)
- Professeur Invité at Université de Saint-Etienne (2005-2006)
- Royal Society International Short Visit Fellowship (2004)
Professor Kurimo leads the Speech Recognition Group at Aalto, collaborating with COIN (Centre of Excellence in Computational Inference) and AIRC (Adaptive Informatics Research Centre). His projects like CaptainA mobile app demonstrate practical applications of ASR in language education. He has supervised numerous publications with co-authors in domains spanning bandwidth extension, stuttering detection, and speech sound disorder assessment.
