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Tanel Alumäe
Tanel Alumäe
Professor of Speech Processing, Tallinn University of Technology
Verified email at taltech.ee - Homepage
Title
Cited by
Cited by
Year
Bidirectional Recurrent Neural Network with Attention Mechanism for Punctuation Restoration
O Tilk, T Alumäe
Interspeech 2016, 3047-3051, 2016
2562016
VoxLingua107: a dataset for spoken language recognition
J Valk, T Alumäe
2021 IEEE Spoken Language Technology Workshop (SLT), 652-658, 2021
1612021
LSTM for punctuation restoration in speech transcripts
O Tilk, T Alumäe
Interspeech, 2015
1492015
Advanced Rich Transcription System for Estonian Speech
T Alumäe, O Tilk, Asadullah
Baltic HLT 2018, 2018
122*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
1092006
Efficient estimation of maximum entropy language models with n-gram features: an SRILM extension
T Alumäe, M Kurimo
Interspeech, 1820-1823, 2010
552010
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
532020
Estonian Speech Recognition and Transcription Editing Service
A Olev, T Alumäe
Baltic Journal of Modern Computing 10 (3), 511–524, 2022
452022
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
362017
Full-duplex Speech-to-text System for Estonian
T Alumäe
Baltic HLT 2014, 3-10, 2014
332014
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
322017
Improved Multilingual Training of Stacked Neural Network Acoustic Models for Low Resource Languages.
T Alumäe, S Tsakalidis, RM Schwartz
Interspeech, 3883-3887, 2016
322016
Multi-domain neural network language model
T Alumäe
Interspeech, 2182-2186, 2013
312013
Multi-domain recurrent neural network language model for medical speech recognition
O Tilk, T Alumäe
Human Language Technologies–The Baltic Perspective, 149-152, 2014
272014
Recent improvements in Estonian LVCSR.
T Alumäe
SLTU, 118-123, 2014
222014
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
212016
A hierarchical Dirichlet process model for joint part-of-speech and morphology induction
K Sirts, T Alumäe
HLT-NAACL, 407-416, 2012
212012
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
192019
Improving language identification of accented speech
K Kukk, T Alumäe
arXiv preprint arXiv:2203.16972, 2022
182022
Domain adaptation of maximum entropy language models
T Alumäe, M Kurimo
Proceedings of the ACL 2010 Conference Short Papers, 301-306, 2010
162010
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Articles 1–20