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ORCIDMikko Kurimo
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- affiliation: Aalto University, Finland
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2020 – today
- 2024
[j36]Hemant Kumar Kathania, Virender Kadyan, Sudarsana Reddy Kadiri
, Mikko Kurimo:
Spectral warping based data augmentation for low resource children's speaker verification. Multim. Tools Appl. 83(16): 48895-48906 (2024)- [j35]Georgios Karakasidis, Mikko Kurimo, Peter Bell, Tamás Grósz:
Comparison and analysis of new curriculum criteria for end-to-end ASR. Speech Commun. 163: 103113 (2024) - [j34]Aku Rouhe, Tamás Grósz, Mikko Kurimo:
Principled Comparisons for End-to-End Speech Recognition: Attention vs Hybrid at the 1000-Hour Scale. IEEE ACM Trans. Audio Speech Lang. Process. 32: 623-638 (2024) - [j33]Dejan Porjazovski, Tamás Grósz, Mikko Kurimo:
From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3546-3560 (2024) - [c170]Anne Marte Haug Olstad, Anna Smolander, Sofia Strömbergsson, Sari Ylinen, Minna Lehtonen, Mikko Kurimo, Yaroslav Getman, Tamás Grósz, Xinwei Cao, Torbjørn Svendsen, Giampiero Salvi:
Collecting Linguistic Resources for Assessing Children's Pronunciation of Nordic Languages. LREC/COLING 2024: 3529-3537 - [c169]Anja Virkkunen, Marek Sarvas, Guangpu Huang, Tamás Grósz, Mikko Kurimo:
Investigating the Clusters Discovered By Pre-Trained AV-HuBERT. ICASSP 2024: 11196-11200 - [c168]Mehedi Hasan Bijoy, Dejan Porjazovski, Nhan Phan, Guangpu Huang, Tamás Grósz, Mikko Kurimo:
Multimodal Humor Detection and Social Perception Prediction. MuSe@ACM Multimedia 2024: 60-64 - [c167]Abhijit Sinha, Mittul Singh, Sudarsana Reddy Kadiri, Mikko Kurimo, Hemant Kumar Kathania:
Effect of Speech Modification on Wav2Vec2 Models for Children Speech Recognition. SPCOM 2024: 1-5 - [i24]Dejan Porjazovski, Anssi Moisio, Mikko Kurimo:
Out-of-distribution generalisation in spoken language understanding. CoRR abs/2407.07425 (2024) - [i23]Anssi Moisio, Mathias Creutz, Mikko Kurimo:
LLMs' morphological analyses of complex FST-generated Finnish words. CoRR abs/2407.08269 (2024) - 2023
- [j32]Yaroslav Getman, Nhan Phan, Ragheb Al-Ghezi, Ekaterina Voskoboinik, Mittul Singh, Tamás Grósz, Mikko Kurimo, Giampiero Salvi, Torbjørn Svendsen, Sofia Strömbergsson, Anna-Riikka Smolander, Sari Ylinen:
Developing an AI-Assisted Low-Resource Spoken Language Learning App for Children. IEEE Access 11: 86025-86037 (2023) - [j31]Anssi Moisio, Dejan Porjazovski, Aku Rouhe, Yaroslav Getman, Anja Virkkunen, Ragheb Al-Ghezi, Mietta Lennes, Tamás Grósz, Krister Lindén, Mikko Kurimo:
Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks. Lang. Resour. Evaluation 57(3): 1295-1327 (2023) - [j30]Anja Virkkunen, Aku Rouhe, Nhan Phan, Mikko Kurimo:
Finnish parliament ASR corpus. Lang. Resour. Evaluation 57(4): 1645-1670 (2023) - [c166]Dejan Porjazovski, Tamás Grósz, Mikko Kurimo:
Topic Identification for Spontaneous Speech: Enriching Audio Features with Embedded Linguistic Information. EUSIPCO 2023: 396-400 - [c165]Tamás Grósz, Yaroslav Getman, Ragheb Al-Ghezi, Aku Rouhe, Mikko Kurimo:
Investigating wav2vec2 context representations and the effects of fine-tuning, a case-study of a Finnish model. INTERSPEECH 2023: 196-200 - [c164]Dejan Porjazovski, Yaroslav Getman, Tamás Grósz, Mikko Kurimo:
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference. ACM Multimedia 2023: 9477-9481 - [c163]Tamás Grósz, Anja Virkkunen, Dejan Porjazovski, Mikko Kurimo:
Discovering Relevant Sub-spaces of BERT, Wav2Vec 2.0, ELECTRA and ViT Embeddings for Humor and Mimicked Emotion Recognition with Integrated Gradients. MuSe@ACM Multimedia 2023: 27-34 - [c162]Nhan Phan, Tamás Grósz, Mikko Kurimo:
CaptainA - A mobile app for practising Finnish pronunciation. NoDaLiDa 2023: 265-270 - [c161]Anssi Moisio, Mathias Creutz, Mikko Kurimo:
Evaluating Morphological Generalisation in Machine Translation by Distribution-Based Compositionality Assessment. NoDaLiDa 2023: 738-751 - [c160]Reima Karhila, Sari Ylinen, Anna-Riikka Smolander, Aku Rouhe, Ragheb Al-Ghezi, Yaroslav Getman, Tamás Grósz, Maria Uther, Mikko Kurimo:
A pronunciation Scoring System Embedded into Children's Foreign Language Learning Games with Experimental Verification of Learning Benefits. SLaTE 2023: 21-25 - [c159]Yaroslav Getman, Ragheb Al-Ghezi, Tamás Grósz, Mikko Kurimo:
Multi-task wav2vec2 Serving as a Pronunciation Training System for Children. SLaTE 2023: 36-40 - [c158]Mikko Kurimo, Yaroslav Getman, Ekaterina Voskoboinik, Ragheb Al-Ghezi, Heini Kallio, Mikko Kuronen, Anna von Zansen, Raili Hildén, Sirkku Kronholm, Ari Huhta, Krister Lindén:
New data, benchmark and baseline for L2 speaking assessment for low-resource languages. SLaTE 2023: 166-170 - [c157]Udara Laxman Kumar, Mikko Kurimo, Hemant Kumar Kathania:
Effect of Linear Prediction Order to Modify Formant Locations for Children Speech Recognition. SPECOM (1) 2023: 483-493 - [c156]Georgios Karakasidis, Nathaniel R. Robinson, Yaroslav Getman, Atieno Ogayo, Ragheb Al-Ghezi, Ananya Ayasi, Shinji Watanabe, David R. Mortensen, Mikko Kurimo:
Multilingual TTS Accent Impressions for Accented ASR. TSD 2023: 317-327 - [i22]Dejan Porjazovski, Tamás Grósz, Mikko Kurimo:
Topic Identification For Spontaneous Speech: Enriching Audio Features With Embedded Linguistic Information. CoRR abs/2307.11450 (2023) - [i21]Dejan Porjazovski, Yaroslav Getman, Tamás Grósz, Mikko Kurimo:
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference. CoRR abs/2310.10179 (2023) - [i20]Anssi Moisio, Mathias Creutz, Mikko Kurimo:
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation. CoRR abs/2311.08249 (2023) - 2022
- [j29]Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo:
A formant modification method for improved ASR of children's speech. Speech Commun. 136: 98-106 (2022) - [j28]Hemant Kumar Kathania, Virender Kadyan, Sudarsana Reddy Kadiri, Mikko Kurimo:
Data Augmentation Using Spectral Warping for Low Resource Children ASR. J. Signal Process. Syst. 94(12): 1507-1513 (2022) - [c155]Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann, Jorma Laaksonen, Mikko Kurimo:
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and Its Intensity. COLING 2022: 6875-6886 - [c154]Tamás Grósz, Noora Kallioniemi, Harri Kiiskinen, Kimmo Laine, Anssi Moisio, Tommi Römpötti, Anja Virkkunen, Hannu Salmi, Mikko Kurimo, Jorma Laaksonen:
Tracing Signs of Urbanity in the Finnish Fiction Film of the 1950s: Toward a Multimodal Analysis of Audiovisual Data. DHNB 2022: 63-78 - [c153]Georgios Karakasidis, Tamás Grósz, Mikko Kurimo:
Comparison and Analysis of New Curriculum Criteria for End-to-End ASR. INTERSPEECH 2022: 66-70 - [c152]Aku Rouhe, Anja Virkkunen, Juho Leinonen, Mikko Kurimo:
Low Resource Comparison of Attention-based and Hybrid ASR Exploiting wav2vec 2.0. INTERSPEECH 2022: 3543-3547 - [c151]Yaroslav Getman, Ragheb Al-Ghezi, Katja Voskoboinik, Tamás Grósz, Mikko Kurimo, Giampiero Salvi, Torbjørn Svendsen, Sofia Strömbergsson:
wav2vec2-based Speech Rating System for Children with Speech Sound Disorder. INTERSPEECH 2022: 3618-3622 - [c150]Tamás Grósz, Dejan Porjazovski, Yaroslav Getman, Sudarsana Reddy Kadiri, Mikko Kurimo:
Wav2vec2-based Paralinguistic Systems to Recognise Vocalised Emotions and Stuttering. ACM Multimedia 2022: 7026-7029 - [c149]Ragheb Al-Ghezi, Yaroslav Getman, Ekaterina Voskoboinik, Mittul Singh, Mikko Kurimo:
Automatic Rating of Spontaneous Speech for Low-Resource Languages. SLT 2022: 339-345 - [i19]Anssi Moisio, Dejan Porjazovski, Aku Rouhe, Yaroslav Getman, Anja Virkkunen, Tamás Grósz, Krister Lindén, Mikko Kurimo:
Lahjoita puhetta - a large-scale corpus of spoken Finnish with some benchmarks. CoRR abs/2203.12906 (2022) - [i18]Anja Virkkunen, Aku Rouhe, Nhan Phan, Mikko Kurimo:
Finnish Parliament ASR corpus - Analysis, benchmarks and statistics. CoRR abs/2203.14876 (2022) - [i17]Georgios Karakasidis, Tamás Grósz, Mikko Kurimo:
Comparison and Analysis of New Curriculum Criteria for End-to-End ASR. CoRR abs/2208.05782 (2022) - [i16]Tamás Grósz, Mittul Singh, Sudarsana Reddy Kadiri, Hemant Kumar Kathania, Mikko Kurimo:
End-to-end Ensemble-based Feature Selection for Paralinguistics Tasks. CoRR abs/2210.15978 (2022) - [i15]Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann, Jorma Laaksonen, Mikko Kurimo:
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and its Intensity. CoRR abs/2211.01889 (2022) - 2021
- [j27]Matti Varjokallio, Sami Virpioja, Mikko Kurimo:
Morphologically motivated word classes for very large vocabulary speech recognition of Finnish and Estonian. Comput. Speech Lang. 66: 101141 (2021) - [j26]Peter Smit, Sami Virpioja, Mikko Kurimo:
Advances in subword-based HMM-DNN speech recognition across languages. Comput. Speech Lang. 66: 101158 (2021) - [c148]Hemant Kumar Kathania, Avinash Kumar, Mikko Kurimo:
Vowel Non-Vowel Based Spectral Warping and Time Scale Modification for Improvement in Children's ASR. ICASSP 2021: 6983-6987 - [c147]Ragheb Al-Ghezi, Yaroslav Getman, Aku Rouhe, Raili Hildén, Mikko Kurimo:
Self-Supervised End-to-End ASR for Low Resource L2 Swedish. Interspeech 2021: 1429-1433 - [c146]Tuomas Kaseva, Hemant Kumar Kathania, Aku Rouhe, Mikko Kurimo:
Speaker Verification Experiments for Adults and Children Using Shared Embedding Spaces. NoDaLiDa 2021: 86-93 - [c145]Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo:
Spectral modification for recognition of children's speech undermismatched conditions. NoDaLiDa 2021: 94-100 - [c144]Juho Leinonen, Sami Virpioja, Mikko Kurimo:
Grapheme-Based Cross-Language Forced Alignment: Results with Uralic Languages. NoDaLiDa 2021: 345-350 - [c143]Virender Kadyan, Hemant Kumar Kathania, Prajjval Govil, Mikko Kurimo:
Synthesis Speech Based Data Augmentation for Low Resource Children ASR. SPECOM 2021: 317-326 - [c142]Aku Rouhe, Astrid Van Camp, Mittul Singh, Hugo Van hamme, Mikko Kurimo:
An Equal Data Setting for Attention-Based Encoder-Decoder and HMM/DNN Models: A Case Study in Finnish ASR. SPECOM 2021: 602-613 - [c141]Tamás Grósz, Mikko Kurimo:
LSTM-XL: Attention Enhanced Long-Term Memory for LSTM Cells. TDS 2021: 382-393 - [c140]Dejan Porjazovski, Juho Leinonen, Mikko Kurimo:
Attention-Based End-to-End Named Entity Recognition from Speech. TDS 2021: 469-480 - 2020
- [j25]Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation. Mach. Transl. 34(4): 251-286 (2020) - [j24]Miika Koskinen, Mikko Kurimo, Joachim Gross, Aapo Hyvärinen, Riitta Hari:
Brain activity reflects the predictability of word sequences in listened continuous speech. NeuroImage 219: 116936 (2020) - [c139]Luca Molteni, Mittul Singh, Juho Leinonen, Katri Leino, Mikko Kurimo, Emanuele Della Valle:
Service registration chatbot: collecting and comparing dialogues from AMT workers and service's users. W-NUT@EMNLP 2020: 116-121 - [c138]Aku Rouhe, Tuomas Kaseva, Mikko Kurimo:
Speaker-Aware Training of Attention-Based End-to-End Speech Recognition Using Neural Speaker Embeddings. ICASSP 2020: 7064-7068 - [c137]Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo:
Study of Formant Modification for Children ASR. ICASSP 2020: 7429-7433 - [c136]Hemant Kumar Kathania, Mittul Singh, Tamás Grósz, Mikko Kurimo:
Data Augmentation Using Prosody and False Starts to Recognize Non-Native Children's Speech. INTERSPEECH 2020: 260-264 - [c135]Katri Leino, Juho Leinonen, Mittul Singh, Sami Virpioja, Mikko Kurimo:
FinChat: Corpus and Evaluation Setup for Finnish Chat Conversations on Everyday Topics. INTERSPEECH 2020: 429-433 - [c134]Matias Lindgren, Tommi Jauhiainen, Mikko Kurimo:
Releasing a Toolkit and Comparing the Performance of Language Embeddings Across Various Spoken Language Identification Datasets. INTERSPEECH 2020: 467-471 - [c133]Abhilash Jain, Aku Rouhe, Stig-Arne Grönroos, Mikko Kurimo:
Finnish ASR with Deep Transformer Models. INTERSPEECH 2020: 3630-3634 - [c132]Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning. LREC 2020: 3944-3953 - [c131]Tamás Grósz, Mikko Kurimo:
Visual Interpretation of DNN-based Acoustic Models using Deep Autoencoders. MLVis@Eurographics/EuroVis 2020: 25-29 - [c130]Dejan Porjazovski, Juho Leinonen, Mikko Kurimo:
Named Entity Recognition for Spoken Finnish. AI4TV@MM 2020: 25-29 - [c129]Mittul Singh, Peter Smit, Sami Virpioja, Mikko Kurimo:
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models. SLTU-CCURL@LREC 2020: 41-45 - [c128]Ismail Harrando, Alison Reboud, Pasquale Lisena, Raphaël Troncy, Jorma Laaksonen, Anja Virkkunen, Mikko Kurimo:
Using Fan-Made Content, Subtitles and Face Recognition for Character-Centric Video Summarization. TRECVID 2020 - [i14]Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning. CoRR abs/2003.03131 (2020) - [i13]Abhilash Jain, Aku Rouhe, Stig-Arne Grönroos, Mikko Kurimo:
Finnish Language Modeling with Deep Transformer Models. CoRR abs/2003.11562 (2020) - [i12]Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation. CoRR abs/2004.04002 (2020) - [i11]Mittul Singh, Sami Virpioja, Peter Smit, Mikko Kurimo:
Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search. CoRR abs/2005.13827 (2020) - [i10]Mittul Singh, Peter Smit, Sami Virpioja, Mikko Kurimo:
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models. CoRR abs/2007.11648 (2020) - [i9]Tamás Grósz, Mittul Singh, Sudarsana Reddy Kadiri, Hemant Kumar Kathania, Mikko Kurimo:
Aalto's End-to-End DNN systems for the INTERSPEECH 2020 Computational Paralinguistics Challenge. CoRR abs/2008.02689 (2020) - [i8]Katri Leino, Juho Leinonen, Mittul Singh, Sami Virpioja, Mikko Kurimo:
FinChat: Corpus and evaluation setup for Finnish chat conversations on everyday topics. CoRR abs/2008.08315 (2020) - [i7]Hemant Kumar Kathania, Mittul Singh, Tamás Grósz, Mikko Kurimo:
Data augmentation using prosody and false starts to recognize non-native children's speech. CoRR abs/2008.12914 (2020)
2010 – 2019
- 2019
- [c127]Tuomas Kaseva, Aku Rouhe, Mikko Kurimo:
Spherediar: An Effective Speaker Diarization System for Meeting Data. ASRU 2019: 373-380 - [c126]Reima Karhila, Anna-Riikka Smolander, Sari Ylinen, Mikko Kurimo:
Transparent Pronunciation Scoring Using Articulatorily Weighted Phoneme Edit Distance. INTERSPEECH 2019: 1866-1870 - [c125]Mittul Singh, Sami Virpioja, Peter Smit, Mikko Kurimo:
Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search. INTERSPEECH 2019: 4235-4239 - [c124]Katri Leino, Kashyap Todi, Antti Oulasvirta, Mikko Kurimo:
Computer-supported form design using keystroke-level modeling with reinforcement learning. IUI Companion 2019: 85-86 - [c123]Katri Leino, Antti Oulasvirta, Mikko Kurimo:
RL-KLM: automating keystroke-level modeling with reinforcement learning. IUI 2019: 476-480 - [c122]Anja Virkkunen, Juri Lukkarila, Kalle J. Palomäki, Mikko Kurimo:
A user study to compare two conversational assistants designed for people with hearing impairments. SLPAT@NAACL-HLT 2019: 1-8 - [i6]Reima Karhila, Anna-Riikka Smolander, Sari Ylinen, Mikko Kurimo:
Transparent pronunciation scoring using articulatorily weighted phoneme edit distance. CoRR abs/1905.02639 (2019) - 2018
- [j23]Maria Uther, Anna-Riikka Smolander, Katja Junttila, Mikko Kurimo, Reima Karhila, Seppo Enarvi, Sari Ylinen:
User Experiences from L2 Children Using a Speech Learning Application: Implications for Developing Speech Training Applications for Children. Adv. Hum. Comput. Interact. 2018: 7345397:1-7345397:6 (2018) - [c121]Zhicun Xu, Peter Smit, Mikko Kurimo:
The Aalto system based on fine-tuned AudioSet features for DCASE2018 task2 - general purpose audio tagging. DCASE 2018: 24-28 - [c120]Aku Rouhe, Reima Karhila, Aija Elg, Minnaleena Toivola, Peter Smit, Anna-Riikka Smolander, Mikko Kurimo:
Captaina: Integrated Pronunciation Practice and Data Collection Portal. INTERSPEECH 2018: 1051-1052 - [c119]Umut Sulubacak, Jörg Tiedemann, Aku Rouhe, Stig-Arne Grönroos, Mikko Kurimo:
The MeMAD Submission to the IWSLT 2018 Speech Translation Task. IWSLT 2018: 89-94 - [c118]Matti Varjokallio, Sami Virpioja, Mikko Kurimo:
First-Pass Techniques for Very Large Vocabulary Speech Recognition ff Morphologically Rich Languages. SLT 2018: 227-234 - [c117]Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Cognate-aware morphological segmentation for multilingual neural translation. WMT (shared task) 2018: 386-393 - [c116]Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Mérialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, Raúl Vázquez:
The MeMAD Submission to the WMT18 Multimodal Translation Task. WMT (shared task) 2018: 603-611 - [i5]Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Cognate-aware morphological segmentation for multilingual neural translation. CoRR abs/1808.10791 (2018) - [i4]Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Mérialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, Raúl Vázquez:
The MeMAD Submission to the WMT18 Multimodal Translation Task. CoRR abs/1808.10802 (2018) - [i3]Umut Sulubacak, Jörg Tiedemann, Aku Rouhe, Stig-Arne Grönroos, Mikko Kurimo:
The MeMAD Submission to the IWSLT 2018 Speech Translation Task. CoRR abs/1810.10320 (2018) - 2017
- [j22]Mikko Kurimo, Seppo Enarvi, Ottokar Tilk, Matti Varjokallio, André Mansikkaniemi, Tanel Alumäe:
Modeling under-resourced languages for speech recognition. Lang. Resour. Evaluation 51(4): 961-987 (2017) - [j21]Seppo Enarvi, Peter Smit, Sami Virpioja, Mikko Kurimo:
Automatic Speech Recognition With Very Large Conversational Finnish and Estonian Vocabularies. IEEE ACM Trans. Audio Speech Lang. Process. 25(11): 2085-2097 (2017) - [c115]Peter Smit, Siva Reddy Gangireddy, Seppo Enarvi, Sami Virpioja, Mikko Kurimo:
Character-based units for unlimited vocabulary continuous speech recognition. ASRU 2017: 149-156 - [c114]Peter Smit, Siva Reddy Gangireddy, Seppo Enarvi, Sami Virpioja, Mikko Kurimo:
Aalto system for the 2017 Arabic multi-genre broadcast challenge. ASRU 2017: 338-345 - [c113]Daniela Caballero, Roberto Araya, Hanna Kronholm, Jouni Viiri, André Mansikkaniemi, Sami Lehesvuori, Tuomas Virtanen, Mikko Kurimo:
ASR in Classroom Today: Automatic Visualization of Conceptual Network in Science Classrooms. EC-TEL 2017: 541-544 - [c112]Md. Akmal Haidar, Mikko Kurimo:
LDA-based context dependent recurrent neural network language model using document-based topic distribution of words. ICASSP 2017: 5730-5734 - [c111]Aku Rouhe, Reima Karhila, Peter Smit, Mikko Kurimo:
Reading Validation for Pronunciation Evaluation in the Digitala Project. INTERSPEECH 2017: 2050-2051 - [c110]Peter Smit, Sami Virpioja, Mikko Kurimo:
Improved Subword Modeling for WFST-Based Speech Recognition. INTERSPEECH 2017: 2551-2555 - [c109]Reima Karhila, Sari Ylinen, Seppo Enarvi, Kalle J. Palomäki, Aleksander Nikulin, Olli Rantula, Vertti Viitanen, Krupakar Dhinakaran, Anna-Riikka Smolander, Heini Kallio, Katja Junttila, Maria Uther, Perttu Hämäläinen, Mikko Kurimo:
SIAK - A Game for Foreign Language Pronunciation Learning. INTERSPEECH 2017: 3429-3430 - [c108]André Mansikkaniemi, Peter Smit, Mikko Kurimo:
Automatic Construction of the Finnish Parliament Speech Corpus. INTERSPEECH 2017: 3762-3766 - [c107]Katri Leino, Mikko Kurimo:
Acoustic Model Compression with MAP adaptation. NODALIDA 2017: 65-69 - [c106]Aku Rouhe, Reima Karhila, Heini Kallio, Mikko Kurimo:
A pipeline for automatic assessment of foreign language pronunciation. SLaTE 2017: 190 - [c105]Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Extending hybrid word-character neural machine translation with multi-task learning of morphological analysis. WMT 2017: 296-302 - [i2]Seppo Enarvi, Peter Smit, Sami Virpioja, Mikko Kurimo:
Automatic Speech Recognition with Very Large Conversational Finnish and Estonian Vocabularies. CoRR abs/1707.04227 (2017) - 2016
- [j20]Teemu Ruokolainen, Oskar Kohonen, Kairit Sirts, Stig-Arne Grönroos, Mikko Kurimo, Sami Virpioja:
A Comparative Study of Minimally Supervised Morphological Segmentation. Comput. Linguistics 42(1): 91-120 (2016) - [j19]Ulpu Remes, Ana Ramírez López, Lauri Juvela, Kalle J. Palomäki, Guy J. Brown, Paavo Alku, Mikko Kurimo:
Comparing human and automatic speech recognition in a perceptual restoration experiment. Comput. Speech Lang. 35: 14-31 (2016) - [j18]Miikka Silfverberg, Teemu Ruokolainen, Krister Lindén, Mikko Kurimo:
FinnPos: an open-source morphological tagging and lemmatization toolkit for Finnish. Lang. Resour. Evaluation 50(4): 863-878 (2016) - [c104]Saeideh Mirzaei, Pierrick Milhorat, Jérôme Boudy, Gérard Chollet, Mikko Kurimo:
Experiments on Adaptation Methods to Improve Acoustic Modeling for French Speech Recognition. ICPRAM 2016: 278-282 - [c103]Reima Karhila, Aku Rouhe, Peter Smit, André Mansikkaniemi, Heini Kallio, Erik Lindroos, Raili Hildén, Martti Vainio, Mikko Kurimo:
Digitala: An Augmented Test and Review Process Prototype for High-Stakes Spoken Foreign Language Examination. INTERSPEECH 2016: 784-785 - [c102]Seppo Enarvi, Mikko Kurimo:
TheanoLM - An Extensible Toolkit for Neural Network Language Modeling. INTERSPEECH 2016: 3052-3056 - [c101]Md. Akmal Haidar, Mikko Kurimo:
Recurrent Neural Network Language Model with Incremental Updated Context Information Generated Using Bag-of-Words Representation. INTERSPEECH 2016: 3504-3508 - [c100]Graham Wilcock, Niklas Laxström, Juho Leinonen, Peter Smit, Mikko Kurimo, Kristiina Jokinen:
Towards SamiTalk: A Sami-Speaking Robot Linked to Sami Wikipedia. IWSDS 2016: 343-351 - [c99]Matti Varjokallio, Mikko Kurimo, Sami Virpioja:
Class n-Gram Models for Very Large Vocabulary Speech Recognition of Finnish and Estonian. SLSP 2016: 133-144 - [c98]André Mansikkaniemi, Mikko Kurimo, Krister Lindén:
In-Document Adaptation for a Human Guided Automatic Transcription Service. SPECOM 2016: 395-402 - [c97]Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Hybrid Morphological Segmentation for Phrase-Based Machine Translation. WMT 2016: 289-295 - [i1]Seppo Enarvi, Mikko Kurimo:
TheanoLM - An Extensible Toolkit for Neural Network Language Modeling. CoRR abs/1605.00942 (2016) - 2015
- [j17]