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Mikko Kurimo

Mikko Kurimo

D-Index & Metrics

Computer Science

D-Index
35
Citations
4946
World Ranking
11740
National Ranking
102

Overview

Mikko Kurimo is affiliated with Aalto University in Finland and specializes in the field of Computer Science. Their research predominantly focuses on areas such as Artificial Intelligence, Signal Processing, Cognitive Neuroscience, Experimental and Cognitive Psychology, and Developmental and Educational Psychology.

The scientist's main research topics include Speech Recognition and Synthesis, Natural Language Processing Techniques, Topic Modeling, Speech and dialogue systems, Speech and Audio Processing, Music and Audio Processing, and Phonetics and Phonology Research.

Frequently publishing in a variety of scholarly venues, Mikko Kurimo has contributed notably to arXiv (Cornell University), Interspeech 2022, Computer Speech & Language, Speech Communication, and Language Resources and Evaluation.

Some of their recent publications include:

  • "Brain activity reflects the predictability of word sequences in listened continuous speech" (2020, NeuroImage)
  • "Advances in subword-based HMM-DNN speech recognition across languages" (2020, Computer Speech & Language)
  • "A formant modification method for improved ASR of children's speech" (2021, Speech Communication)
  • "Wav2vec2-based Paralinguistic Systems to Recognise Vocalised Emotions and Stuttering" (2022, Proceedings of the 30th ACM International Conference on Multimedia)
  • "wav2vec2-based Speech Rating System for Children with Speech Sound Disorder" (2022, Interspeech 2022)

Mikko Kurimo's research collaborations include frequent co-authors such as Tamás Grósz, Yaroslav Getman, Hemant Kumar Kathania, Sudarsana Reddy Kadiri, and Mittul Singh.

Best Publications

  • ICASSP The IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    Hannu Pulakka;Ulpu Remes;Kalle Palomäki;Mikko Kurimo

  • Unlimited vocabulary speech recognition with morph language models applied to Finnish

    Teemu Hirsimäki;Mathias Creutz;Vesa Siivola;Mikko Kurimo

  • Morph-based speech recognition and modeling of out-of-vocabulary words across languages

    Mathias Creutz;Teemu Hirsimäki;Mikko Kurimo;Antti Puurula

  • Morfessor 2.0: Python Implementation and Extensions for Morfessor Baseline

    Sami Virpioja;Peter Smit;Stig-Arne Grönroos;Mikko Kurimo

  • An Augmented Reality Interface to Contextual Information

    Antti Ajanki;Mark Billinghurst;Hannes Gamper;Toni Jarvenpaa

  • Evaluating Systems for Multilingual and Multimodal Information Access

    Carol Peters;Thomas Deselaers;Nicola Ferro;Julio Gonzalo

  • SpeechFind: advances in spoken document retrieval for a National Gallery of the Spoken Word

    J.H.L. Hansen;Rongqing Huang;Bowen Zhou;M. Seadle

  • Importance of High-Order N-Gram Models in Morph-Based Speech Recognition

    T. Hirsimaki;J. Pylkkonen;M. Kurimo

  • Morfessor 2.0: Toolkit for statistical morphological segmentation

    Peter Smit;Sami Virpioja;Stig-Arne Grönroos;Mikko Kurimo

  • Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2009

    Junichi Yamagishi;B. Usabaev;Simon King;Oliver Watts

  • Unlimited vocabulary speech recognition for agglutinative languages

    Mikko Kurimo;Antti Puurula;Ebru Arisoy;Vesa Siivola

  • Unlimited vocabulary speech recognition based on morphs discovered in an unsupervised manner

    Vesa Siivola;Teemu Hirsimäki;Mathias Johan Philip Creutz;Mikko Kurimo

  • Thousands of Voices for HMM-Based Speech Synthesis–Analysis and Application of TTS Systems Built on Various ASR Corpora

    Junichi Yamagishi;Bela Usabaev;Simon King;Oliver Watts

  • Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology

    Stig-Arne Grönroos;Sami Virpioja;Peter Smit;Mikko Kurimo

  • Duration Modeling Techniques for Continuous Speech Recognition

    Janne Pylkkönen;Mikko Kurimo

  • Proceedings of the Annual Conference of the International Speech Communication Association

    Reima Karhila;Aku Rouhe;Peter Smit;Andre Mansikkaniemi

  • Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields

    Teemu Ruokolainen;Oskar Kohonen;Sami Virpioja;Mikko Kurimo

  • Fast latent semantic indexing of spoken documents by using self-organizing maps

    M. Kurimo

  • Overview and results of Morpho challenge 2009

    Mikko Kurimo;Sami Virpioja;Ville T. Turunen;Graeme W. Blackwood

  • On Lexicon Creation for Turkish LVCSR

    Kadri Hacioglu;Bryan L. Pellom;Tolga Çiloglu;Özlem Öztürk

  • Morpho Challenge 2005-2010: Evaluations and Results

    Mikko Kurimo;Sami Virpioja;Ville Turunen;Krista Lagus

  • Proceedings of the ACL 2010 System Demonstrations

    Mikko Kurimo;William Byrne;John Dines;Philip N. Garner

Frequent Co-Authors

Paavo Alku
Paavo Alku Aalto University
Jorma Laaksonen
Jorma Laaksonen Aalto University
Murat Saraclar
Murat Saraclar Boğaziçi University
William Byrne
William Byrne University of Cambridge
Samuel Kaski
Samuel Kaski Aalto University
Junichi Yamagishi
Junichi Yamagishi National Institute of Informatics
Keiichi Tokuda
Keiichi Tokuda Nagoya Institute of Technology
Mark Billinghurst
Mark Billinghurst University of South Australia
Jörg Tiedemann
Jörg Tiedemann University of Helsinki
Thomas Deselaers
Thomas Deselaers Apple (United States)

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