Mikko Kurimo

Mikko Kurimo

Aalto-yliopisto

H-index: 37

Europe-Finland

About Mikko Kurimo

Mikko Kurimo, With an exceptional h-index of 37 and a recent h-index of 21 (since 2020), a distinguished researcher at Aalto-yliopisto, specializes in the field of speech recognition, machine learning, language modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Investigating the Clusters Discovered By Pre-Trained AV-HuBERT

Non-game like training benefits spoken foreign-language processing in children with dyslexia

A Pronunciation Scoring System Embedded into Children’s Foreign Language Learning Games with Experimental Verification of Learning Benefits

Topic Identification for Spontaneous Speech: Enriching Audio Features with Embedded Linguistic Information

On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation

Automatic rating of spontaneous speech for low-resource languages

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

Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks

Mikko Kurimo Information

University

Position

Professor in Speech and Language Processing Finland

Citations(all)

4971

Citations(since 2020)

1771

Cited By

3833

hIndex(all)

37

hIndex(since 2020)

21

i10Index(all)

117

i10Index(since 2020)

54

Email

University Profile Page

Aalto-yliopisto

Google Scholar

View Google Scholar Profile

Mikko Kurimo Skills & Research Interests

speech recognition

machine learning

language modeling

Top articles of Mikko Kurimo

Title

Journal

Author(s)

Publication Date

Investigating the Clusters Discovered By Pre-Trained AV-HuBERT

Anja Virkkunen

Marek Sarvaš

Guangpu Huang

Tamas Grosz

Mikko Kurimo

2024/4/14

Non-game like training benefits spoken foreign-language processing in children with dyslexia

Frontiers in Human Neuroscience

Katja Junttila

Anna-Riikka Smolander

Reima Karhila

Mikko Kurimo

Sari Ylinen

2023/3/10

A Pronunciation Scoring System Embedded into Children’s Foreign Language Learning Games with Experimental Verification of Learning Benefits

Reima Karhila

Sari Ylinen

Anna-Riikka Smolander

Aku Rouhe

Ragheb Al-Ghezi

...

2023/8/18

Topic Identification for Spontaneous Speech: Enriching Audio Features with Embedded Linguistic Information

Dejan Porjazovski

Tamás Grósz

Mikko Kurimo

2023/9/4

On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation

arXiv preprint arXiv:2311.08249

Anssi Moisio

Mathias Creutz

Mikko Kurimo

2023/11/14

Automatic rating of spontaneous speech for low-resource languages

Ragheb Al-Ghezi

Yaroslav Getman

Ekaterina Voskoboinik

Mittul Singh

Mikko Kurimo

2023/1/9

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

IEEE Access

Yaroslav Getman

Nhan Phan

Ragheb Al-Ghezi

Ekaterina Voskoboinik

Mittul Singh

...

2023/8/10

Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks

Language Resources and Evaluation

Anssi Moisio

Dejan Porjazovski

Aku Rouhe

Yaroslav Getman

Anja Virkkunen

...

2023/9

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

Multimedia Tools and Applications

Hemant Kumar Kathania

Virender Kadyan

Sudarsana Reddy Kadiri

Mikko Kurimo

2023/11/3

Speech recognition system improvements for North Sámi Speaker-dependent and Speaker Independent Tasks

Proc. 2nd Annual Meeting of the ELRA/ISCA SIG on Under-resourced Languages (SIGUL 2023)

Aku Rouhe

Mikko Kurimo

2023

Automated assessment of task completion in spontaneous speech for finnish and finland swedish language learners

Ekaterina Voskoboinik

Yaroslav Getman

Ragheb Al-Ghezi

Mikko Kurimo

Tamas Grosz

2023/5/16

Multilingual TTS Accent Impressions for Accented ASR

Georgios Karakasidis

Nathaniel Robinson

Yaroslav Getman

Atieno Ogayo

Ragheb Al-Ghezi

...

2023/8/23

Finnish parliament ASR corpus: Analysis, benchmarks and statistics

Language Resources and Evaluation

Anja Virkkunen

Aku Rouhe

Nhan Phan

Mikko Kurimo

2023/12

Discovering Relevant Sub-spaces of BERT, Wav2Vec 2.0, ELECTRA and ViT Embeddings for Humor and Mimicked Emotion Recognition with Integrated Gradients

Tamás Grósz

Anja Virkkunen

Dejan Porjazovski

Mikko Kurimo

2023/11/2

New data, benchmark and baseline for L2 speaking assessment for low-resource languages

Mikko Kurimo

Yaroslav Getman

Ekaterina Voskoboinik

Ragheb Al-Ghezi

Heini Kallio

...

2023

CaptainA-A mobile app for practising Finnish pronunciation

Nhan Phan

Tamás Grósz

Mikko Kurimo

2023/5

Investigating wav2vec2 context representations and the effects of fine-tuning, a case-study of a Finnish model

Tamás Grósz

Yaroslav Getman

Ragheb Al-Ghezi

Aku Rouhe

Mikko Kurimo

2023

Advancing audio emotion and intent recognition with large pre-trained models and bayesian inference

Dejan Porjazovski

Yaroslav Getman

Tamás Grósz

Mikko Kurimo

2023/10/26

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

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Aku Rouhe

Tamás Grósz

Mikko Kurimo

2023/11/24

Evaluating morphological generalisation in machine translation by distribution-based compositionality assessment

Anssi Moisio

Mathias Creutz

Mikko Kurimo

2023/3/20

See List of Professors in Mikko Kurimo University(Aalto-yliopisto)

Co-Authors

H-index: 61
Keiichi Tokuda

Keiichi Tokuda

Nagoya Institute of Technology

H-index: 43
Bill Byrne

Bill Byrne

University of Cambridge

H-index: 39
Murat Saraclar

Murat Saraclar

Bogaziçi Üniversitesi

H-index: 27
Krister Lindén

Krister Lindén

Helsingin yliopisto

H-index: 26
Mathias Creutz

Mathias Creutz

Helsingin yliopisto

H-index: 18
Sari Ylinen

Sari Ylinen

Helsingin yliopisto

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