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  • Otakaari 7

1993 …2023

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Personal profile

Artistic and research interests

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.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 11 - Sustainable Cities and Communities

Education/Academic qualification

Doctoral degree, Engineering and Technology, Helsinki University of Technology

Award Date: 28 Oct 1997

Licentiate degree, Engineering and Technology, Helsinki University of Technology

Award Date: 8 Feb 1994

Master's degree, Engineering and Technology, Helsinki University of Technology

Award Date: 10 Feb 1992


  • AIRC
  • Multimodal Interfaces
  • COIN
  • Mobster
  • Simple4All
  • Speech recognition


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