Department of Information and Communications Engineering

Speech recognition

Our goal is to generally improve the speech recognition methodology with the help of the new algorithms developed in Aalto University. Speech recognition offers challenging benchmarking tasks for efficient algorithms that can process and learn to represent large quantities of data. In addition to improving the acoustic models of phonemes we aim at developing new learning statistical language models for difficult large vocabulary continuous speech recognition tasks.

Research Overview

We currently specialize in the following research areas in speech recognition:

  • Sub-word units and deep learning in language modeling
  • Speaker adaptation and pronunciation rating in acoustic modeling
  • Unlimited vocabulary continuous speech recognition
  • Speech recognition and language modeling methods for under-resourced languages
  • Methods for describing and translating audiovisual
  • Speaker and language recognition and diarization

We are part of Finnish Center of Artificial Intelligence (FCAI,

Software & Demonstrations

Software produced as part of our research is available on our GitHub

Demonstration videos of our research work can be watched on our YouTube Channel

Latest publications

Towards Sustainable Agriculture : A Novel Approach for Rice Leaf Disease Detection Using dCNN and Enhanced Dataset

Mehedi Hasan Bijoy, Nirob Hasan, Mithun Biswas, Suvodeep Mazumdar, Andrea Jimenez, Faisal Ahmed, Mirza Rasheduzzaman, Sifat Momen 2024 IEEE Access

Collecting Linguistic Resources for Assessing Children's Pronunciation of Nordic Languages

Anne Marte Haug Olstad, Anna Smolander, Sofia Strömbergsson, Sari Ylinen, Minna Lehtonen, Mikko Kurimo, Yaroslav Getman, Támas Grosz, Xinwei Cao, Torbjørn Svendsen, Giampiero Salvi 2024 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings

Principled Comparisons for End-to-End Speech Recognition: Attention vs Hybrid at the 1000-hour Scale

Aku Rouhe, Tamás Grósz, Mikko Kurimo 2024 IEEE/ACM Transactions on Audio, Speech, and Language Processing

Listening like a speech-training app: Expert and non-expert listeners’ goodness ratings of children’s speech

Sofia Strömbergsson, Molly Fröjdh, Magdalena Pettersson, Tamás Grósz, Yaroslav Getman, Mikko Kurimo 2024 Clinical Linguistics and Phonetics


Anja Virkkunen, Guangpu Huang, Tamas Grosz, Mikko Kurimo 2024 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings

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

Automatic Speaking Assessment of Spontaneous L2 Finnish and Swedish

Ragheb Al-Ghezi, Ekaterina Voskoboinik, Yaroslav Getman, Anna Von Zansen, Heini Kallio, Mikko Kurimo, Ari Huhta, Raili Hildén 2023 Language Assessment Quarterly

Developing an AI-assisted Low-resource Spoken Language Learning App for Children

Yaroslav Getman, Nhan Phan, Ragheb Al-Ghezi, Ekaterina Voskoboinik, Mittul Singh, Tamas Grosz, Mikko Kurimo, Giampiero Salvi, Torbjorn Svendsen, Sofia Strombergsson, Anna Smolander, Sari Ylinen 2023 IEEE Access
More information on our research in the Aalto research portal.
Research portal
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