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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]André Mansikkaniemi, Mikko Kurimo:
Adaptation of Morph-Based Speech Recognition for Foreign Names and Acronyms. IEEE ACM Trans. Audio Speech Lang. Process. 23(5): 941-950 (2015) - [j16]Ulpu Remes, Ana Ramírez López, Kalle J. Palomäki, Mikko Kurimo:
Bounded Conditional Mean Imputation with Observation Uncertainties and Acoustic Model Adaptation. IEEE ACM Trans. Audio Speech Lang. Process. 23(7): 1198-1208 (2015) - [c96]Olli Philippe Lautenbacher, Liisa Tiittula, Maija Hirvonen, Jorma Laaksonen, Mikko Kurimo:
Towards Reliable Automatic Multimodal Content Analysis. VL@EMNLP 2015: 6-7 - [c95]Ana Ramírez López, Nobutaka Ono, Ulpu Remes, Kalle J. Palomäki, Mikko Kurimo:
Designing multichannel source separation based on single-channel source separation. ICASSP 2015: 469-473 - [c94]André Mansikkaniemi, Mikko Kurimo:
Unsupervised and User Feedback Based Lexicon Adaptation for Foreign Names and Acronyms. SLSP 2015: 197-206 - [c93]Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Tuning Phrase-Based Segmented Translation for a Morphologically Complex Target Language. WMT@EMNLP 2015: 105-111 - 2014
- [j15]Reima Karhila, Ulpu Remes, Mikko Kurimo:
Noise in HMM-Based Speech Synthesis Adaptation: Analysis, Evaluation Methods and Experiments. IEEE J. Sel. Top. Signal Process. 8(2): 285-295 (2014) - [c92]Miikka Silfverberg, Teemu Ruokolainen, Krister Lindén, Mikko Kurimo:
Part-of-Speech Tagging using Conditional Random Fields: Exploiting Sub-Label Dependencies for Improved Accuracy. ACL (2) 2014: 259-264 - [c91]Stig-Arne Grönroos, Sami Virpioja, Peter Smit, Mikko Kurimo:
Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology. COLING 2014: 1177-1185 - [c90]Peter Smit, Sami Virpioja, Stig-Arne Grönroos, Mikko Kurimo:
Morfessor 2.0: Toolkit for statistical morphological segmentation. EACL 2014: 21-24 - [c89]Teemu Ruokolainen, Miikka Silfverberg, Mikko Kurimo, Krister Lindén:
Accelerated Estimation of Conditional Random Fields using a Pseudo-Likelihood-inspired Perceptron Variant. EACL 2014: 74-78 - [c88]Teemu Ruokolainen, Oskar Kohonen, Sami Virpioja, Mikko Kurimo:
Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields. EACL 2014: 84-89 - [c87]Ehsan Amid, Annamaria Mesaros, Kalle J. Palomäki, Jorma Laaksonen, Mikko Kurimo:
Unsupervised feature extraction for multimedia event detection and ranking using audio content. ICASSP 2014: 5939-5943 - [c86]Emma Jokinen, Ulpu Remes, Marko Takanen, Kalle J. Palomäki, Mikko Kurimo, Paavo Alku:
Spectral tilt modelling with GMMs for intelligibility enhancement of narrowband telephone speech. INTERSPEECH 2014: 2036-2040 - [c85]Dhananjaya N. Gowda, Heikki Kallasjoki, Reima Karhila, Cristian Contan, Kalle J. Palomäki, Mircea Giurgiu, Mikko Kurimo:
On the role of missing data imputation and NMF feature enhancement in building synthetic voices using reverberant speech. INTERSPEECH 2014: 2947-2951 - [c84]Emma Jokinen, Ulpu Remes, Marko Takanen, Kalle J. Palomäki, Mikko Kurimo, Paavo Alku:
Spectral tilt modelling with extrapolated GMMs for intelligibility enhancement of narrowband telephone speech. IWAENC 2014: 164-168 - [c83]Matti Varjokallio, Mikko Kurimo:
A Toolkit for Efficient Learning of Lexical Units for Speech Recognition. LREC 2014: 3072-3075 - [c82]Matti Varjokallio, Mikko Kurimo:
A word-level token-passing decoder for subword n-gram LVCSR. SLT 2014: 495-500 - 2013
- [j14]John Dines, Hui Liang, Lakshmi Babu Saheer, Matthew Gibson, William Byrne, Keiichiro Oura, Keiichi Tokuda, Junichi Yamagishi, Simon King, Mirjam Wester, Teemu Hirsimäki, Reima Karhila, Mikko Kurimo:
Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis. Comput. Speech Lang. 27(2): 420-437 (2013) - [c81]Matti Varjokallio, Mikko Kurimo, Sami Virpioja:
Learning a subword vocabulary based on unigram likelihood. ASRU 2013: 7-12 - [c80]Teemu Ruokolainen, Oskar Kohonen, Sami Virpioja, Mikko Kurimo:
Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields. CoNLL 2013: 29-37 - [c79]Reima Karhila, Ulpu Remes, Mikko Kurimo:
HMM-based speech synthesis adaptation using noisy data: Analysis and evaluation methods. ICASSP 2013: 6930-6934 - [c78]Dhananjaya N. Gowda, Jouni Pohjalainen, Mikko Kurimo, Paavo Alku:
Robust formant detection using group delay function and stabilized weighted linear prediction. INTERSPEECH 2013: 49-53 - [c77]André Mansikkaniemi, Mikko Kurimo:
Unsupervised topic adaptation for morph-based speech recognition. INTERSPEECH 2013: 2693-2697 - [c76]Dhananjaya N. Gowda, Mikko Kurimo:
Analysis of breathy, modal and pressed phonation based on low frequency spectral density. INTERSPEECH 2013: 3206-3210 - [c75]Antti Suni, Reima Karhila, Tuomo Raitio, Mikko Kurimo, Martti Vainio, Paavo Alku:
Lombard modified text-to-speech synthesis for improved intelligibility: submission for the hurricane challenge 2013. INTERSPEECH 2013: 3562-3566 - [c74]Seppo Enarvi, Mikko Kurimo:
Studies on training text selection for conversational Finnish language modeling. IWSLT 2013 - [c73]Ville T. Turunen, Mikko Kurimo, Sami Keronen:
Results for Variable Speaker and Recording Conditions on Spoken IR in Finnish. SPECOM 2013: 271-277 - [c72]Seppo Enarvi, Mikko Kurimo:
A novel discriminative method for pruning pronunciation dictionary entries. SpeD 2013: 1-4 - [c71]Dhananjaya N. Gowda, Jouni Pohjalainen, Paavo Alku, Mikko Kurimo:
Robust spectral representation using group delay function and stabilized weighted linear prediction for additive noise degradations. SpeD 2013: 1-7 - [c70]Ulpu Remes, Reima Karhila, Mikko Kurimo:
Objective evaluation measures for speaker-adaptive HMM-TTS systems. SSW 2013: 177-181 - [c69]Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Jorma Laaksonen, Erkki Oja, Ehsan Amid, Kalle J. Palomäki, Annamaria Mesaros, Mikko Kurimo:
PicSOM Experiments in TRECVID 2013. TRECVID 2013 - 2012
- [j13]Hannu Pulakka, Ulpu Remes, Santeri Yrttiaho, Kalle J. Palomäki, Mikko Kurimo, Paavo Alku:
Bandwidth Extension of Telephone Speech to Low Frequencies Using Sinusoidal Synthesis and a Gaussian Mixture Model. IEEE Trans. Speech Audio Process. 20(8): 2219-2231 (2012) - [j12]Janne Pylkkönen, Mikko Kurimo:
Analysis of Extended Baum-Welch and Constrained Optimization for Discriminative Training of HMMs. IEEE Trans. Speech Audio Process. 20(9): 2409-2419 (2012) - [c68]André Mansikkaniemi, Mikko Kurimo:
Adaptation of Morpheme-based Speech Recognition for Foreign Entity Names. Baltic HLT 2012: 129-137 - [c67]Reima Karhila, Doddipatla Rama Sanand, Mikko Kurimo, Peter Smit:
Creating synthetic voices for children by adapting adult average voice using stacked transformations and VTLN. ICASSP 2012: 4501-4504 - [c66]Janne Pylkkönen, Mikko Kurimo:
Improving Discriminative Training for Robust Acoustic Models in Large Vocabulary Continuous Speech Recognition. INTERSPEECH 2012: 1211-1214 - [c65]Janne Pylkkönen, Mikko Kurimo:
Optimization-Based Control for the Extended Baum-Welch Algorithm. INTERSPEECH 2012: 1808-1811 - [c64]André Mansikkaniemi, Mikko Kurimo:
Unsupervised Vocabulary Adaptation for Morph-based Language Models. WLM@NAACL-HLT 2012: 37-40 - 2011
- [j11]Ulpu Remes, Kalle J. Palomäki, Tapani Raiko, Antti Honkela, Mikko Kurimo:
Missing-Feature Reconstruction With a Bounded Nonlinear State-Space Model. IEEE Signal Process. Lett. 18(10): 563-566 (2011) - [j10]Sami Virpioja, Ville T. Turunen, Sebastian Spiegler, Oskar Kohonen, Mikko Kurimo:
Empirical Comparison of Evaluation Methods for Unsupervised Learning of Morphology. Trait. Autom. des Langues 52(2): 45-90 (2011) - [j9]Ville T. Turunen, Mikko Kurimo:
Speech retrieval from unsegmented finnish audio using statistical morpheme-like units for segmentation, recognition, and retrieval. ACM Trans. Speech Lang. Process. 8(1): 1:1-1:25 (2011) - [j8]Antti Ajanki, Mark Billinghurst, Hannes Gamper, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Teemu Ruokolainen, Timo Tossavainen:
An augmented reality interface to contextual information. Virtual Real. 15(2-3): 161-173 (2011) - [c63]Peter Smit, Mikko Kurimo:
Using stacked transformations for recognizing foreign accented speech. ICASSP 2011: 5008-5011 - [c62]Hannu Pulakka, Ulpu Remes, Kalle J. Palomäki, Mikko Kurimo, Paavo Alku:
Speech bandwidth extension using Gaussian mixture model-based estimation of the highband mel spectrum. ICASSP 2011: 5100-5103 - [c61]Hannu Pulakka, Ulpu Remes, Santeri Yrttiaho, Kalle J. Palomäki, Mikko Kurimo, Paavo Alku:
Low-Frequency Bandwidth Extension of Telephone Speech Using Sinusoidal Synthesis and Gaussian Mixture Model. INTERSPEECH 2011: 1181-1184 - [c60]Sami Keronen, Jouni Pohjalainen, Paavo Alku, Mikko Kurimo:
Noise Robust Feature Extraction Based on Extended Weighted Linear Prediction in LVCSR. INTERSPEECH 2011: 1265-1268 - [c59]Doddipatla Rama Sanand, Mikko Kurimo:
A Study on Combining VTLN and SAT to Improve the Performance of Automatic Speech Recognition. INTERSPEECH 2011: 2581-2584 - 2010
- [j7]Junichi Yamagishi, Bela Usabaev, Simon King, Oliver Watts, John Dines, Jilei Tian, Yong Guan, Rile Hu, Keiichiro Oura, Yi-Jian Wu, Keiichi Tokuda, Reima Karhila, Mikko Kurimo:
Thousands of Voices for HMM-Based Speech Synthesis-Analysis and Application of TTS Systems Built on Various ASR Corpora. IEEE Trans. Speech Audio Process. 18(5): 984-1004 (2010) - [c58]Mikko Kurimo, William Byrne, John Dines, Philip N. Garner, Matthew Gibson, Yong Guan, Teemu Hirsimäki, Reima Karhila, Simon King, Hui Liang, Keiichiro Oura, Lakshmi Babu Saheer, Matt Shannon, Sayaka Shiota, Jilei Tian:
Personalising Speech-To-Speech Translation in the EMIME Project. ACL (System Demonstrations) 2010: 48-53 - [c57]Tanel Alumäe, Mikko Kurimo:
Domain Adaptation of Maximum Entropy Language Models. ACL (2) 2010: 301-306 - [c56]Sami Keronen, Ulpu Remes, Kalle J. Palomäki, Tuomas Virtanen, Mikko Kurimo:
Comparison of noise robust methods in large vocabulary speech recognition. EUSIPCO 2010: 1973-1977 - [c55]Matthew Gibson, Teemu Hirsimäki, Reima Karhila, Mikko Kurimo, William Byrne:
Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction. ICASSP 2010: 4642-4645 - [c54]Tanel Alumäe, Mikko Kurimo:
Efficient estimation of maximum entropy language models with n-gram features: an SRILM extension. INTERSPEECH 2010: 1820-1823 - [c53]Mikko Kurimo, Sami Virpioja, Ville T. Turunen, Krista Lagus:
Morpho Challenge 2005-2010: Evaluations and Results. SIGMORPHON 2010: 87-95 - [c52]Reima Karhila, Mikko Kurimo:
Unsupervised cross-lingual speaker adaptation for accented speech recognition. SLT 2010: 109-114 - [c51]Mirjam Wester, John Dines, Matthew Gibson, Hui Liang, Yi-Jian Wu, Lakshmi Babu Saheer, Simon King, Keiichiro Oura, Philip N. Garner, William Byrne, Yong Guan, Teemu Hirsimäki, Reima Karhila, Mikko Kurimo, Matt Shannon, Sayaka Shiota, Jilei Tian, Keiichi Tokuda, Junichi Yamagishi:
Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project. SSW 2010: 192-197 - [c50]Sami Virpioja, Jaakko J. Väyrynen, André Mansikkaniemi, Mikko Kurimo:
Applying Morphological Decompositions to Statistical Machine Translation. WMT@ACL 2010: 195-200 - [e2]Carol Peters, Giorgio Maria Di Nunzio, Mikko Kurimo, Thomas Mandl, Djamel Mostefa, Anselmo Peñas, Giovanna Roda:
Multilingual Information Access Evaluation I. Text Retrieval Experiments, 10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, Corfu, Greece, September 30 - October 2, 2009, Revised Selected Papers. Lecture Notes in Computer Science 6241, Springer 2010, ISBN 978-3-642-15753-0 [contents]
2000 – 2009
- 2009
- [j6]Teemu Hirsimäki, Janne Pylkkönen, Mikko Kurimo:
Importance of High-Order N-Gram Models in Morph-Based Speech Recognition. IEEE Trans. Speech Audio Process. 17(4): 724-732 (2009) - [c49]Mikko Kurimo, Sami Virpioja, Ville T. Turunen, Graeme W. Blackwood, William Byrne:
Overview and Results of Morpho Challenge 2009. CLEF (1) 2009: 578-597 - [c48]Mikko Kurimo, Sami Virpioja, Ville T. Turunen, Graeme W. Blackwood, William J. Byrne:
Overview and Results of Morpho Challenge 2009. CLEF (Working Notes) 2009 - [c47]Ulpu Remes, Kalle J. Palomäki, Mikko Kurimo:
Robust automatic speech recognition using acoustic model adaptation prior to missing feature reconstruction. EUSIPCO 2009: 535-539 - [c46]Junichi Yamagishi, Bela Usabaev, Simon King, Oliver Watts, John Dines, Jilei Tian, Rile Hu, Yong Guan, Keiichiro Oura, Keiichi Tokuda, Reima Karhila, Mikko Kurimo:
Thousands of voices for HMM-based speech synthesis. INTERSPEECH 2009: 420-423 - [c45]Jouni Pohjalainen, Heikki Kallasjoki, Kalle J. Palomäki, Mikko Kurimo, Paavo Alku:
Weighted linear prediction for speech analysis in noisy conditions. INTERSPEECH 2009: 1315-1318 - [c44]Mikko Kurimo, Sami Virpioja, Ville T. Turunen, Teemu Hirsimäki:
Morpho Challenge - Evaluation of algorithms for unsupervised learning of morphology in various tasks and languages. HLT-NAACL (Demos) 2009: 13-16 - [c43]Adrià de Gispert, Sami Virpioja, Mikko Kurimo, William J. Byrne:
Minimum Bayes Risk Combination of Translation Hypotheses from Alternative Morphological Decompositions. HLT-NAACL (Short Papers) 2009: 73-76 - [c42]Teemu Hirsimäki, Mikko Kurimo:
Analysing Recognition Errors in Unlimited-Vocabulary Speech Recognition. HLT-NAACL (Short Papers) 2009: 193-196 - [e1]Carol Peters, Thomas Deselaers, Nicola Ferro, Julio Gonzalo, Gareth J. F. Jones, Mikko Kurimo, Thomas Mandl, Anselmo Peñas, Vivien Petras:
Evaluating Systems for Multilingual and Multimodal Information Access, 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Aarhus, Denmark, September 17-19, 2008, Revised Selected Papers. Lecture Notes in Computer Science 5706, Springer 2009, ISBN 978-3-642-04446-5 [contents] - 2008
- [c41]Mikko Kurimo, Mathias Creutz, Ville T. Turunen:
Morpho Challenge Evaluation by Information Retrieval Experiments. CLEF 2008: 991-998 - [c40]Mikko Kurimo, Ville T. Turunen:
Unsupervised Morpheme Analysis Evaluation by IR experiments - Morpho Challenge 2008. CLEF (Working Notes) 2008 - [c39]Mikko Kurimo, Ville T. Turunen, Matti Varjokallio:
Overview of Morpho Challenge 2008. CLEF 2008: 951-966 - [c38]Mikko Kurimo, Matti Varjokallio:
Unsupervised Morpheme Analysis Evaluation by a Comparison to a Linguistic Gold Standard - Morpho Challenge 2008. CLEF (Working Notes) 2008 - [c37]Ulpu Remes, Kalle J. Palomäki, Mikko Kurimo:
Missing feature reconstruction and acoustic model adaptation combined for large vocabulary continuous speech recognition. EUSIPCO 2008: 1-5 - [c36]David Ellis, Mathias Creutz, Timo Honkela, Mikko Kurimo:
Speech to speech machine translation: Biblical chatter from Finnish to English. IJCNLP 2008: 123-129 - 2007
- [j5]Mathias Creutz, Teemu Hirsimäki, Mikko Kurimo, Antti Puurula, Janne Pylkkönen, Vesa Siivola, Matti Varjokallio, Ebru Arisoy, Murat Saraclar, Andreas Stolcke:
Morph-based speech recognition and modeling of out-of-vocabulary words across languages. ACM Trans. Speech Lang. Process. 5(1): 3:1-3:29 (2007) - [c35]Antti Puurula, Mikko Kurimo:
Vocabulary Decomposition for Estonian Open Vocabulary Speech Recognition. ACL 2007 - [c34]Mikko Kurimo, Mathias Creutz, Ville T. Turunen:
Overview of Morpho Challenge in CLEF 2007. CLEF (Working Notes) 2007 - [c33]Mikko Kurimo, Mathias Creutz, Ville T. Turunen:
Unsupervised Morpheme Analysis Evaluation by IR experiments - Morpho Challenge 2007. CLEF (Working Notes) 2007 - [c32]Mikko Kurimo, Mathias Creutz, Matti Varjokallio:
Morpho Challenge Evaluation Using a Linguistic Gold Standard. CLEF 2007: 864-872 - [c31]Mikko Kurimo, Mathias Creutz, Matti Varjokallio:
Unsupervised Morpheme Analysis Evaluation by a Comparison to a Linguistic Gold Standard - Morpho Challenge 2007. CLEF (Working Notes) 2007 - [c30]Ulpu Remes, Janne Pylkkönen, Mikko Kurimo:
Segregation of Speakers for Speaker Adaptation in TV News Audio. ICASSP (4) 2007: 481-484 - [c29]Vesa Siivola, Mathias Creutz, Mikko Kurimo:
Morfessor and variKN machine learning tools for speech and language technology. INTERSPEECH 2007: 1549-1552 - [c28]Matti Varjokallio, Mikko Kurimo:
Comparison of subspace methods for Gaussian mixture models in speech recognition. INTERSPEECH 2007: 2121-2124 - [c27]Mathias Creutz, Teemu Hirsimäki, Mikko Kurimo, Antti Puurula, Janne Pylkkönen, Vesa Siivola, Matti Varjokallio, Ebru Arisoy, Murat Saraclar, Andreas Stolcke:
Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages. HLT-NAACL 2007: 380-387 - [c26]Ville T. Turunen, Mikko Kurimo:
Indexing confusion networks for morph-based spoken document retrieval. SIGIR 2007: 631-638 - 2006
- [j4]Teemu Hirsimäki, Mathias Creutz, Vesa Siivola, Mikko Kurimo, Sami Virpioja, Janne Pylkkönen:
Unlimited vocabulary speech recognition with morph language models applied to Finnish. Comput. Speech Lang. 20(4): 515-541 (2006) - [c25]Mikko Kurimo, Mathias Creutz, Matti Varjokallio, Ebru Arisoy, Murat Saraclar:
Unsupervised segmentation of words into morphemes - morpho challenge 2005 application to automatic speech recognition. INTERSPEECH 2006 - [c24]Ville T. Turunen, Mikko Kurimo:
Using latent semantic indexing for morph-based spoken document retrieval. INTERSPEECH 2006 - [c23]Sami Virpioja, Mikko Kurimo:
Compact n-gram models by incremental growing and clustering of histories. INTERSPEECH 2006 - [c22]Mikko Kurimo, Antti Puurula, Ebru Arisoy, Vesa Siivola, Teemu Hirsimäki, Janne Pylkkönen, Tanel Alumäe, Murat Saraclar:
Unlimited vocabulary speech recognition for agglutinative languages. HLT-NAACL 2006 - 2005
- [j3]John H. L. Hansen, Rongqing Huang, Bowen Zhou, Michael S. Seadle, John R. Deller Jr., Aparna Gurijala, Mikko Kurimo, Pongtep Angkititrakul:
SpeechFind: Advances in Spoken Document Retrieval for a National Gallery of the Spoken Word. IEEE Trans. Speech Audio Process. 13(5-1): 712-730 (2005) - [c21]Mikko Kurimo, Ville T. Turunen:
To recover from speech recognition errors in spoken document retrieval. INTERSPEECH 2005: 605-608 - [c20]Simo Broman, Mikko Kurimo:
Methods for combining language models in speech recognition. INTERSPEECH 2005: 1317-1320 - 2004
- [c19]Mikko Kurimo, Bowen Zhou, Rongqing Huang, John H. L. Hansen:
Language modeling structures in audio transcription for retrieval of historical speeches. EUSIPCO 2004: 557-560 - [c18]Janne Pylkkönen, Mikko Kurimo:
Duration modeling techniques for continuous speech recognition. INTERSPEECH 2004: 385-388 - [c17]Mikko Kurimo, Ville T. Turunen, Inger Ekman:
An evaluation of a spoken document retrieval baseline system in finish. INTERSPEECH 2004: 1585-1588 - [c16]Mikko Kurimo, Ville T. Turunen, Inger Ekman:
Speech Transcription and Spoken Document Retrieval in Finnish. MLMI 2004: 253-262 - 2003
- [c15]Kadri Hacioglu, Bryan L. Pellom, Tolga Çiloglu, Özlem Öztürk, Mikko Kurimo, Mathias Creutz:
On lexicon creation for turkish LVCSR. INTERSPEECH 2003: 1165-1168 - [c14]Vesa Siivola, Teemu Hirsimäki, Mathias Creutz, Mikko Kurimo:
Unlimited vocabulary speech recognition based on morphs discovered in an unsupervised manner. INTERSPEECH 2003: 2293-2296 - 2002
- [j2]Mikko Kurimo:
Thematic indexing of spoken documents by using self-organizing maps. Speech Commun. 38(1-2): 29-45 (2002) - [c13]Mikko Kurimo, Krista Lagus:
An Efficiently Focusing Large Vocabulary Language Model. ICANN 2002: 1068-1073 - [c12]Krista Lagus, Mikko Kurimo:
Language model adaptation in speech recognition using document maps. NNSP 2002: 627-636 - 2001
- [c11]Vesa Siivola, Mikko Kurimo, Krista Lagus:
Large vocabulary statistical language modeling for continuous speech recognition in finnish. INTERSPEECH 2001: 737-740 - 2000
- [c10]Mikko Kurimo:
Indexing spoken audio by LSA and SOMS. EUSIPCO 2000: 1-4 - [c9]Mikko Kurimo:
Fast latent semantic indexing of spoken documents by using self-organizing maps. ICASSP 2000: 2425-2428
1990 – 1999
- 1998
- [c8]Mikko Kurimo:
Self-organization in mixture densities of HMM based speech recognition. ESANN 1998: 227-236 - [c7]Mikko Kurimo:
Improving vocabulary independent HMM decoding results by using the dynamically expanding context. ICASSP 1998: 833-836 - 1997
- [j1]Mikko Kurimo:
Training mixture density HMMs with SOM and LVQ. Comput. Speech Lang. 11(4): 321-343 (1997) - [c6]Mikko Kurimo:
Comparison results for segmental training algorithms for mixture density HMMs. EUROSPEECH 1997: 87-90 - 1996
- [c5]Mikko Kurimo:
Segmental LVQ3 training for phoneme-wise tied mixture density HMMS. EUSIPCO 1996: 1-4 - [c4]Mikko Kurimo, Panu Somervuo:
Using the self-organizing map to speed up the probability density estimation for speech recognition with mixture density HMMs. ICSLP 1996: 358-361 - 1993
- [c3]Mikko Kurimo:
Using LVQ to enhance semi-continuous hidden Markov models for phonemes. EUROSPEECH 1993: 1731-1734 - 1992
- [c2]Mikko Kurimo, Kari Torkkola:
Application of self-organizing maps and LVQ in training continuous density hidden Markov models for phonemes. ICSLP 1992: 543-546 - 1991
- [c1]Kari Torkkola, Mikko Kokkonen, Mikko Kurimo, Pekka Utela:
Improving short-time speech frame recognition results by using context. EUROSPEECH 1991: 793-796
Coauthor Index
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