Mikko Kurimo
Department of Signal Processing and Acoustics

Mikko Kurimo

Professor (Associate Professor)

Contact information

Postal address
Otakaari 7
Mobile phone
+358503476221
Full researcher profile
https://research.aalto.fi/...

Description

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.

Areas of expertise

AIRC Multimodal Interfaces COIN Mobster Simple4All EMIME Speech recognition

Honors and awards

Award or honor granted for a specific work
Department of Signal Processing and Acoustics
Jan 2004

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

Award or honor granted for a specific work
Department of Signal Processing and Acoustics
Jan 2006

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

Award or honor granted for a specific work
Department of Signal Processing and Acoustics
Jan 2011

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”.

Invitation or ranking in competition
Centre of Excellence in Computational Inference, COIN
Jan 2017

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)

Research groups

Centre of Excellence in Computational Inference, COIN, Professor (Associate Professor)
Speech Recognition

Publications

Department of Signal Processing and Acoustics, Department of Neuroscience and Biomedical Engineering, Speech Recognition

Statistical models of morphology predict eye-tracking measures during visual word recognition

Publishing year: 2019
Department of Signal Processing and Acoustics, Department of Neuroscience and Biomedical Engineering, Speech Recognition

Statistical models of morphology predict eye-tracking measures during visual word recognition

Publishing year: 2019 MEMORY AND COGNITION
Department of Signal Processing and Acoustics, Department of Communications and Networking, Helsinki Institute for Information Technology HIIT, Centre of Excellence in Computational Inference, COIN, User Interfaces, Speech Recognition

Computer-Supported Form Design using Keystroke-Level Modeling with Reinforcement Learning

Publishing year: 2019
Department of Signal Processing and Acoustics, Helsinki Institute for Information Technology HIIT, Department of Communications and Networking, Centre of Excellence in Computational Inference, COIN, User Interfaces, Speech Recognition

RL-KLM: Automating Keystroke-level Modeling with Reinforcement Learning

Publishing year: 2019 24th International Conference on Intelligent User Interfaces (IUI ’19)
Centre of Excellence in Computational Inference, COIN, School common, ELEC, Department of Signal Processing and Acoustics, Speech Recognition

The Aalto system based on fine-tuned AudioSet features for DCASE2018 task2 - general purpose audio tagging

Publishing year: 2018 Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018)
Centre of Excellence in Computational Inference, COIN, Department of Signal Processing and Acoustics, Speech Recognition

Cognate-aware morphological segmentation for multilingual neural translation

Publishing year: 2018 Third Conference on Machine Translation (WMT18); Brussels, Belgium
Department of Signal Processing and Acoustics, Centre of Excellence in Computational Inference, COIN, Speech Recognition

The MeMAD Submission to the IWSLT 2018 Speech Translation Task

Publishing year: 2018 15th International Workshop on Spoken Language Translation 2018
Department of Signal Processing and Acoustics, Centre of Excellence in Computational Inference, COIN, Speech Recognition

First-pass decoding with n-gram approximation of RNNLM: The problem of rare words

Publishing year: 2018 Machine Learning in Speech and Language Processing Workshop 2018
Department of Signal Processing and Acoustics, Centre of Excellence in Computational Inference, COIN, School common, ELEC, Professorship Kaski S., Department of Computer Science, Speech Recognition

The MeMAD submission to the WMT18 multimodal translation task

Publishing year: 2018 Proceedings of the Third Conference on Machine Translation (WMT), Volume 2: Shared Task Papers
Department of Signal Processing and Acoustics, Centre of Excellence in Computational Inference, COIN, Speech Recognition

Captaina: Integrated pronunciation practice and data collection portal

Publishing year: 2018 Proceedings of Interspeech