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, https://fcai.fi/).
Teaching
We are teaching the following courses:
ELEC-E5550 Statistical Natural Language Processing
ELEC-E5521 Speech and Language Processing Methods
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