Mikko Kurimo

Low-Resource Active Learning of North Sámi Morphological Segmentation

2015 · Septentrio Conference Series

Many Uralic languages have a rich morphological structure, but lack tools of morphological analysis needed for efficient language processing. While creating a high-quality morphological analyzer requires a significant amount of expert labor, data-driven approaches may …

Reading validation for pronunciation evaluation in the Digitala project

2017 · Aaltodoc (Aalto University)

We describe a recognition, validation and segmentation system as an intelligent preprocessor for automatic pronunciation evaluation. The system is developed for large-scale high stake foreign language tests, where it is necessary to reduce human workload …

Advances in subword-based HMM-DNN speech recognition across languages

2020 · Computer Speech & Language

We describe a novel way to implement subword language models in speech recognition systems based on weighted finite state transducers, hidden Markov models, and deep neural networks. The acoustic models are built on graphemes in …

Developing an AI-Assisted Low-Resource Spoken Language Learning App for Children

2023 · IEEE Access

Computer-assisted Language Learning (CALL) is a rapidly developing area accelerated by advancements in the field of AI. A well-designed and reliable CALL system allows students to practice language skills, like pronunciation, any time outside of …

LLMs' morphological analyses of complex FST-generated Finnish words

2024 · Työväentutkimus Vuosikirja

Rule-based language processing systems have been overshadowed by neural systems in terms of utility, but it remains unclear whether neural NLP systems, in practice, learn the grammar rules that humans use. This work aims to …

Non-native Children's Automatic Speech Assessment Challenge (NOCASA)

2025 · arXiv (Cornell University)

This paper presents the "Non-native Children's Automatic Speech Assessment" (NOCASA) - a data competition part of the IEEE MLSP 2025 conference. NOCASA challenges participants to develop new systems that can assess single-word pronunciations of young …