| Bidirectional Recurrent Neural Network with Attention Mechanism for Punctuation Restoration O Tilk, T Alumäe Interspeech 2016, 3047-3051, 2016 | 248 | 2016 |
| LSTM for punctuation restoration in speech transcripts O Tilk, T Alumäe Interspeech, 2015 | 148 | 2015 |
| VoxLingua107: a dataset for spoken language recognition J Valk, T Alumäe 2021 IEEE Spoken Language Technology Workshop (SLT), 652-658, 2021 | 136 | 2021 |
| Advanced Rich Transcription System for Estonian Speech T Alumäe, O Tilk, Asadullah Baltic HLT 2018, 2018 | 111* | 2018 |
| Unlimited vocabulary speech recognition for agglutinative languages M Kurimo, A Puurula, E Arisoy, V Siivola, T Hirsimäki, J Pylkkönen, ... HLT-NAACL, 487-494, 2006 | 109 | 2006 |
| Efficient estimation of maximum entropy language models with n-gram features: an SRILM extension T Alumäe, M Kurimo Interspeech, 1820-1823, 2010 | 55 | 2010 |
| Robust training of vector quantized bottleneck models A Łańcucki, J Chorowski, G Sanchez, R Marxer, N Chen, HJGA Dolfing, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 37 | 2020 |
| The 2016 BBN Georgian telephone speech keyword spotting system T Alumäe, D Karakos, W Hartmann, R Hsiao, L Zhang, L Nguyen, ... ICASSP, 5755-5759, 2017 | 36 | 2017 |
| Estonian Speech Recognition and Transcription Editing Service A Olev, T Alumäe Baltic Journal of Modern Computing 10 (3), 511–524, 2022 | 33 | 2022 |
| Full-duplex Speech-to-text System for Estonian T Alumäe Baltic HLT 2014, 3-10, 2014 | 33 | 2014 |
| Improved Multilingual Training of Stacked Neural Network Acoustic Models for Low Resource Languages. T Alumäe, S Tsakalidis, RM Schwartz Interspeech, 3883-3887, 2016 | 32 | 2016 |
| Modeling under-resourced languages for speech recognition M Kurimo, S Enarvi, O Tilk, M Varjokallio, A Mansikkaniemi, T Alumäe Language Resources and Evaluation 51, 961-987, 2017 | 31 | 2017 |
| Multi-domain neural network language model T Alumäe Interspeech, 2182-2186, 2013 | 31 | 2013 |
| Multi-domain recurrent neural network language model for medical speech recognition O Tilk, T Alumäe Human Language Technologies–The Baltic Perspective, 149-152, 2014 | 26 | 2014 |
| Sage: The new BBN speech processing platform R Hsiao, R Meermeier, T Ng, Z Huang, M Jordan, E Kan, T Alumäe, ... Interspeech, 3022-3026, 2016 | 21 | 2016 |
| Recent improvements in Estonian LVCSR. T Alumäe SLTU, 118-123, 2014 | 21 | 2014 |
| A hierarchical Dirichlet process model for joint part-of-speech and morphology induction K Sirts, T Alumäe HLT-NAACL, 407-416, 2012 | 21 | 2012 |
| Unsupervised neural segmentation and clustering for unit discovery in sequential data J Chorowski, N Chen, R Marxer, HJGA Dolfing, A Łańcucki, G Sanchez, ... NeurIPS 2019 workshop-Perception as generative reasoning-Structure …, 2019 | 18 | 2019 |
| Domain adaptation of maximum entropy language models T Alumäe, M Kurimo Proceedings of the ACL 2010 Conference Short Papers, 301-306, 2010 | 16 | 2010 |
| Methods for Estonian large vocabulary speech recognition T Alumäe Tallinn University of Technology Press, 2006 | 16 | 2006 |
Mikko KurimoProfessor in Speech and Language Processing, Aalto University, Finland在 aalto.fi 的电子邮件经过验证
