Department of Signal Processing and Acoustics

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

When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and Its Intensity

Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann, Jorma Laaksonen, Mikko Kurimo 2022 Proceedings of the 29th International Conference on Computational Linguistics

wav2vec2-based Speech Rating System for Children with Speech Sound Disorder

Yaroslav Getman, Ragheb Al-Ghezi, Ekaterina Voskoboinik, Tamás Grósz, Mikko Kurimo, Giampiero Salvi, Torbjørn Svendsen, Sofia Strömbergsson 2022 Proceedings of Interspeech'22

Tracing Signs of Urbanity in the Finnish Fiction Film of the 1950s: Toward a Multimodal Analysis of Audiovisual Data

Tamás Grósz, Noora Kallioniemi, Harri Kiiskinen, Kimmo Laine, Anssi Moisio, Tommi Römpötti, Anja Virkkunen, Hannu Salmi, Mikko Kurimo, Jorma Laaksonen 2022 Proceedings of the 6th Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022), Long Papers

Wav2vec2-based Paralinguistic Systems to Recognise Vocalised Emotions and Stuttering

Tamás Grósz, Dejan Porjazovski, Yaroslav Getman, Sudarsana Kadiri, Mikko Kurimo 2022 Proceedings of the 30th ACM International Conference on Multimedia

Gaming enhances learning-induced plastic changes in the brain

Katja Junttila, Anna Riikka Smolander, Reima Karhila, Anastasia Giannakopoulou, Maria Uther, Mikko Kurimo, Sari Ylinen 2022 Brain and Language

Comparison and Analysis of New Curriculum Criteria for End-to-End ASR

Georgios Karakasidis, Tamás Grósz, Mikko Kurimo 2022 Proceedings of Interspeech'22

A Formant Modification Method for Improved ASR of Children’s Speech

Hemant Kathania, Sudarsana Kadiri, Paavo Alku, Mikko Kurimo 2022 Speech Communication

Data Augmentation Using Spectral Warping for Low Resource Children ASR

Hemant Kumar Kathania, Viredner Kadyan, Sudarsana Reddy Kadiri, Mikko Kurimo 2022 Journal of Signal Processing Systems

Semiautomatic Speech Alignment for Under-Resourced Languages

Juho Leinonen, Niko Partanen, Sami Virpioja, Mikko Kurimo 2022 Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia (EURALI)

Donate Speech: Collecting and Sharing a Large-Scale Speech Database for Social Sciences, Humanities and Artificial Intelligence Research and Innovation

Krister Lindén, Tommi Jauhiainen, Mietta Lennes, Mikko Kurimo, Aleksi Rossi, Tommi Kurki, Olli Pitkänen 2022 CLARIN : the infrastructure for language resources
More information on our research in the Research database.
Research database
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