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.
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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, https://fcai.fi/).

Group members

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

A transformer-based spelling error correction framework for Bangla and resource scarce Indic languages

Mehedi Hasan Bijoy, Nahid Hossain, Salekul Islam, Swakkhar Shatabda 2025 Computer Speech and Language

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

CaptainA self-study mobile app for practising speaking: task completion assessment and feedback with generative AI

Nhan Phan Chi, Anna von Zansen, Maria Kautonen, Tamás Grósz, Mikko Kurimo 2024

Comparison and analysis of new curriculum criteria for end-to-end ASR

Georgios Karakasidis, Mikko Kurimo, Peter Bell, Tamás Grósz 2024 Speech Communication

Spectral warping based data augmentation for low resource children’s speaker verification

Hemant Kumar Kathania, Virender Kadyan, Sudarsana Reddy Kadiri, Mikko Kurimo 2024 Multimedia Tools and Applications

LLMs’ morphological analyses of complex FST-generated Finnish words

Anssi Moisio, Mathias Creutz, Mikko Kurimo 2024 CMCL 2024 - 13th Edition of the Workshop on Cognitive Modeling and Computational Linguistics, Proceedings of the Workshop

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

Automated content assessment and feedback for Finnish L2 learners in a picture description speaking task

Nhan Phan, Anna von Zansen, Maria Kautonen, Ekaterina Voskoboinik, Tamas Grosz, Raili Hilden, Mikko Kurimo 2024 Proceedings of the Interspeech 2024

From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques

Dejan Porjazovski, Tamas Grosz, Mikko Kurimo 2024 IEEE/ACM Transactions on Audio Speech and Language Processing
More information on our research in the Aalto research portal.
Research portal
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