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.
The ACM Multimedia 2023 Computational Paralinguistics Challenge Prize
MGB3 2017: Multi Genre Broadcast challenge for recognizing Arabic dialect speech
ISCA Award for the best student paper of Interspeech 2011
Professeur Invité 2005-2006 at Université de Saint-Etienne Université de Saint-Etienne, France
International Short Visit Fellowship Award The Royal Society, Iso-Britannia
- Speech Recognition