Mikko Kurimo

Full Professor
Full Professor
T412 Department of Information and Communications Engineering

Mikko Kurimo received his M.Sc., Lic.Tech and D.Sc.(Tech.) degrees from Helsinki University of Technology in 1992, 1994 and 1997. In his PhD thesis he developed neural networks based machine learning for automatic speech recognition (ASR). Since then he has been working as a research scientist at IDIAP, a Swiss research centre for artificial intelligence and visited as an international research fellow in a number of research groups specialized in machine learning and ASR including University of Colorado in Boulder, University of Edinburgh, SRI in Stanford, ICSI in Berkeley and NITech in Nagoya. At Aalto University Professor Kurimo has been the head of the automatic speech recognition group since his return from Switzerland in 2000. His work is internationally best known for unsupervised subword language modeling for morphologically complex languages such as Finnish, Estonian, Turkish and Arabic.  His recent achievements include the winning of the 2017 multi-genre broadcast speech recognition challenge and success in Tekes Challenge Finland competition (348 competing projects) and in EC's H2020-ICT-2017 call (115 competing projects). His research interests include deep learning methods for automatic speech recognition and spoken language modeling.

Full researcher profile





International Short Visit Fellowship Award The Royal Society, Iso-Britannia

Award or honor granted for a specific work Dept Signal Process and Acoust Jan 2004

Professeur Invité 2005-2006 at Université de Saint-Etienne Université de Saint-Etienne, France

Award or honor granted for a specific work Dept Signal Process and Acoust Jan 2006

ISCA Award for the best student paper of Interspeech 2011

ISCA Award for the best student paper of Interspeech 2011: Hannu Pulakka, Ulpu Remes, Santeri Yrttiaho, Kalle Palomäki, Mikko Kurimo, and Paavo Alku, “Low-Frequency Bandwidth Extension of Telephone Speech Using Sinusoidal Synthesis and Gaussian Mixture Model”.
Award or honor granted for a specific work Dept Signal Process and Acoust Jan 2011

MGB3 2017: Multi Genre Broadcast challenge for recognizing Arabic dialect speech

First place in the Speech Recognition part of the Arabic Multi-Genre Broadcast Challenge 2017 (MGB3)
Invitation or ranking in competition Centre of Excellence in Computational Inference, COIN Jan 2017


  • Speech Recognition


Automatic Rating of Spontaneous Speech for Low-Resource Languages

Ragheb Al-Ghezi, Yaroslav Getman, Ekaterina Voskoboinik, Mittul Singh, Mikko Kurimo 2023 2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings

Non-game like training benefits spoken foreign-language processing in children with dyslexia

Katja Junttila, Anna Riikka Smolander, Reima Karhila, Mikko Kurimo, Sari Ylinen 2023 FRONTIERS IN HUMAN NEUROSCIENCE

Finnish parliament ASR corpus

Anja Virkkunen, Aku Rouhe, Nhan Phan, Mikko Kurimo 2023 LANGUAGE RESOURCES AND EVALUATION

When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and Its Intensity

Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann, Jorma Laaksonen, Mikko Kurimo 2022 Proceedings of the 29th International Conference on Computational Linguistics

wav2vec2-based Speech Rating System for Children with Speech Sound Disorder

Yaroslav Getman, Ragheb Al-Ghezi, Ekaterina Voskoboinik, Tamás Grósz, Mikko Kurimo, Giampiero Salvi, Torbjørn Svendsen, Sofia Strömbergsson 2022 Proceedings of Interspeech'22

Tracing Signs of Urbanity in the Finnish Fiction Film of the 1950s: Toward a Multimodal Analysis of Audiovisual Data

Tamás Grósz, Noora Kallioniemi, Harri Kiiskinen, Kimmo Laine, Anssi Moisio, Tommi Römpötti, Anja Virkkunen, Hannu Salmi, Mikko Kurimo, Jorma Laaksonen 2022 Proceedings of the 6th Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022), Long Papers

Wav2vec2-based Paralinguistic Systems to Recognise Vocalised Emotions and Stuttering

Tamás Grósz, Dejan Porjazovski, Yaroslav Getman, Sudarsana Kadiri, Mikko Kurimo 2022 Proceedings of the 30th ACM International Conference on Multimedia

Gaming enhances learning-induced plastic changes in the brain

Katja Junttila, Anna Riikka Smolander, Reima Karhila, Anastasia Giannakopoulou, Maria Uther, Mikko Kurimo, Sari Ylinen 2022 Brain and Language

Comparison and Analysis of New Curriculum Criteria for End-to-End ASR

Georgios Karakasidis, Tamás Grósz, Mikko Kurimo 2022 Proceedings of Interspeech'22

A Formant Modification Method for Improved ASR of Children’s Speech

Hemant Kathania, Sudarsana Kadiri, Paavo Alku, Mikko Kurimo 2022 Speech Communication