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Tanel Alumäe
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2020 – today
- 2024
- [c54]Oleksandra Zamana, Priit Käärd, Tanel Alumäe:
Using Pretrained Language Models for Improved Speaker Identification. Odyssey 2024: 51-58 - [c53]Joonas Kalda, Clément Pagés, Ricard Marxer, Tanel Alumäe, Hervé Bredin:
PixIT: Joint Training of Speaker Diarization and Speech Separation from Real-world Multi-speaker Recordings. Odyssey 2024: 115-122 - [c52]Henry Härm, Tanel Alumäe:
TalTech Systems for the Odyssey 2024 Emotion Recognition Challenge. Odyssey 2024: 255-259 - [i8]Tiia Sildam, Andra Velve, Tanel Alumäe:
Finetuning End-to-End Models for Estonian Conversational Spoken Language Translation. CoRR abs/2407.03809 (2024) - 2023
- [c51]Tanel Alumäe, Jiaming Kong, Daniil Robnikov:
Dialect Adaptation and Data Augmentation for Low-Resource ASR: Taltech Systems for the Madasr 2023 Challenge. ASRU 2023: 1-7 - [c50]Tanel Alumäe, Kunnar Kukk, Viet Bac Le, Claude Barras, Abdel Messaoudi, Waad Ben Kheder:
Exploring the Impact of Pretrained Models and Web-Scraped Data for the 2022 NIST Language Recognition Evaluation. INTERSPEECH 2023: 516-520 - [c49]Tanel Alumäe, Joonas Kalda, Külliki Bode, Martin Kaitsa:
Automatic Closed Captioning for Estonian Live Broadcasts. NoDaLiDa 2023: 492-499 - [e1]Tanel Alumäe, Mark Fishel:
Proceedings of the 24th Nordic Conference on Computational Linguistics, NoDaLiDa 2023, Tórshavn, Faroe Islands, May 22-24, 2023. University of Tartu Library 2023, ISBN 978-99-1621-999-7 [contents] - [i7]Tanel Alumäe, Jiaming Kong, Daniil Robnikov:
Dialect Adaptation and Data Augmentation for Low-Resource ASR: TalTech Systems for the MADASR 2023 Challenge. CoRR abs/2310.17448 (2023) - 2022
- [j5]Henry Härm, Tanel Alumäe:
Abstractive Summarization of Broadcast News Stories for Estonian. Balt. J. Mod. Comput. 10(3) (2022) - [j4]Aivo Olev, Tanel Alumäe:
Estonian Speech Recognition and Transcription Editing Service. Balt. J. Mod. Comput. 10(3) (2022) - [c48]Kunnar Kukk, Tanel Alumäe:
Improving Language Identification of Accented Speech. INTERSPEECH 2022: 1288-1292 - [c47]Joonas Kalda, Tanel Alumäe:
Collar-Aware Training for Streaming Speaker Change Detection in Broadcast Speech. Odyssey 2022: 141-147 - [c46]Tanel Alumäe, Kunnar Kukk:
Pretraining Approaches for Spoken Language Recognition: TalTech Submission to the OLR 2021 Challenge. Odyssey 2022: 240-247 - [i6]Tanel Alumäe, Kunnar Kukk:
Pretraining Approaches for Spoken Language Recognition: TalTech Submission to the OLR 2021 Challenge. CoRR abs/2205.07083 (2022) - [i5]Joonas Kalda, Tanel Alumäe:
Collar-aware Training for Streaming Speaker Change Detection in Broadcast Speech. CoRR abs/2205.07086 (2022) - 2021
- [c45]Mairo Leier, Andri Riid, Tanel Alumäe, Uljana Reinsalu, René Pihlak
, Andres Udal, Risto Heinsar, Sven Vainküla:
Smart Elevator with Unsupervised Learning for Visitor Profiling and Personalised Destination Prediction. CogSIMA 2021: 9-16 - [c44]Tanel Alumäe, Jiaming Kong:
Combining Hybrid and End-to-End Approaches for the OpenASR20 Challenge. Interspeech 2021: 4349-4353 - [c43]Abteen Ebrahimi, Manuel Mager, Adam Wiemerslage, Pavel Denisov, Arturo Oncevay, Danni Liu, Sai Koneru, Enes Yavuz Ugan, Zhaolin Li, Jan Niehues, Monica Romero, Iván G. Torre, Tanel Alumäe, Jiaming Kong, Sergey Polezhaev, Yury Belousov, Wei-Rui Chen, Peter Sullivan, Ife Adebara, Bashar Talafha, Alcides Alcoba Inciarte, Muhammad Abdul-Mageed, Luis Chiruzzo, Rolando Coto-Solano, Hilaria Cruz, Sofía Flores-Solórzano, Aldo Andrés Alvarez López, Iván V. Meza-Ruíz, John E. Ortega, Alexis Palmer, Rodolfo Zevallos, Kristine Stenzel, Thang Vu, Katharina Kann:
Findings of the Second AmericasNLP Competition on Speech-to-Text Translation. NeurIPS (Competition and Demos) 2021: 217-232 - [c42]Jörgen Valk, Tanel Alumäe:
VOXLINGUA107: A Dataset for Spoken Language Recognition. SLT 2021: 652-658 - 2020
- [c41]Siim Talts, Tanel Alumäe:
Analyzing Candidate Speaking Time in Estonian Parliament Election Debates. DHN 2020: 351-363 - [c40]Adrian Lancucki, Jan Chorowski
, Guillaume Sanchez, Ricard Marxer, Nanxin Chen, Hans J. G. A. Dolfing, Sameer Khurana, Tanel Alumäe
, Antoine Laurent:
Robust Training of Vector Quantized Bottleneck Models. IJCNN 2020: 1-7 - [c39]Tanel Alumäe
, Jörgen Valk:
The TalTech Systems for the Short-Duration Speaker Verification Challenge 2020. INTERSPEECH 2020: 746-750 - [i4]Adrian Lancucki, Jan Chorowski, Guillaume Sanchez, Ricard Marxer, Nanxin Chen, Hans J. G. A. Dolfing, Sameer Khurana, Tanel Alumäe, Antoine Laurent:
Robust Training of Vector Quantized Bottleneck Models. CoRR abs/2005.08520 (2020)
2010 – 2019
- 2019
- [c38]Lauri Tavi, Tanel Alumäe
, Stefan Werner:
Recognition of Creaky Voice from Emergency Calls. INTERSPEECH 2019: 1990-1994 - [i3]Tanel Alumäe, Ottokar Tilk, Asad Ullah:
Advanced Rich Transcription System for Estonian Speech. CoRR abs/1901.03601 (2019) - 2018
- [j3]Andrus Paats
, Tanel Alumäe
, Einar Meister
, Ivo Fridolin
:
Retrospective Analysis of Clinical Performance of an Estonian Speech Recognition System for Radiology: Effects of Different Acoustic and Language Models. J. Digit. Imaging 31(5): 615-621 (2018) - [c37]Tanel Alumäe
, Ottokar Tilk, Asad Ullah:
Advanced Rich Transcription System for Estonian Speech. Baltic HLT 2018: 1-8 - [c36]Leo Kristopher Piel, Tanel Alumäe
:
Speech-Based Identification of Children's Gender and Age with Neural Networks. Baltic HLT 2018: 104-111 - [c35]Martin Karu, Tanel Alumäe
:
Weakly Supervised Training of Speaker Identification Models. Odyssey 2018: 24-30 - [c34]Tanel Alumäe
:
Training Speaker Recognition Models with Recording-Level Labels. SLT 2018: 1066-1072 - [c33]Asad Ullah, Tanel Alumäe
:
Data Augmentation and Teacher-Student Training for LF-MMI Based Robust Speech Recognition. TSD 2018: 403-410 - [i2]Martin Karu, Tanel Alumäe:
Weakly Supervised Training of Speaker Identification Models. CoRR abs/1806.08621 (2018) - 2017
- [j2]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) - [c32]Ottokar Tilk, Tanel Alumäe
:
Low-Resource Neural Headline Generation. NFiS@EMNLP 2017: 20-26 - [c31]Tanel Alumäe
, Damianos G. Karakos, William Hartmann, Roger Hsiao, Le Zhang, Long Nguyen, Stavros Tsakalidis, Richard M. Schwartz:
The 2016 BBN Georgian telephone speech keyword spotting system. ICASSP 2017: 5755-5759 - [c30]William Hartmann, Damianos G. Karakos, Roger Hsiao, Le Zhang, Tanel Alumäe
, Stavros Tsakalidis, Richard M. Schwartz:
Analysis of keyword spotting performance across IARPA babel languages. ICASSP 2017: 5765-5769 - [c29]Tanel Alumäe
, Andrus Paats, Ivo Fridolin
, Einar Meister
:
Implementation of a Radiology Speech Recognition System for Estonian Using Open Source Software. INTERSPEECH 2017: 2168-2172 - [i1]Ottokar Tilk, Tanel Alumäe:
Low-Resource Neural Headline Generation. CoRR abs/1707.09769 (2017) - 2016
- [c28]Tanel Alumäe
, Ottokar Tilk:
Automatic Speech Recognition System for Lithuanian Broadcast Audio. Baltic HLT 2016: 39-45 - [c27]Roger Hsiao, Ralf Meermeier, Tim Ng, Zhongqiang Huang, Maxwell Jordan, Enoch Kan, Tanel Alumäe
, Jan Silovský, William Hartmann, Francis Keith, Omer Lang, Man-Hung Siu, Owen Kimball:
Sage: The New BBN Speech Processing Platform. INTERSPEECH 2016: 3022-3026 - [c26]Ottokar Tilk, Tanel Alumäe
:
Bidirectional Recurrent Neural Network with Attention Mechanism for Punctuation Restoration. INTERSPEECH 2016: 3047-3051 - [c25]Tanel Alumäe
, Stavros Tsakalidis, Richard M. Schwartz:
Improved Multilingual Training of Stacked Neural Network Acoustic Models for Low Resource Languages. INTERSPEECH 2016: 3883-3887 - 2015
- [c24]Ottokar Tilk, Tanel Alumäe:
LSTM for punctuation restoration in speech transcripts. INTERSPEECH 2015: 683-687 - 2014
- [c23]Tanel Alumäe
:
Full-duplex Speech-to-text System for Estonian. Baltic HLT 2014: 3-10 - [c22]Ottokar Tilk, Tanel Alumäe
:
Multi-Domain Recurrent Neural Network Language Model for Medical Speech Recognition. Baltic HLT 2014: 149-152 - [c21]Tanel Alumäe:
Neural network phone duration model for speech recognition. INTERSPEECH 2014: 1204-1208 - [c20]Tanel Alumäe:
Recent improvements in Estonian LVCSR. SLTU 2014: 118-123 - 2013
- [c19]Tanel Alumäe, Rena Nemoto:
Phone duration modeling using clustering of rich contexts. INTERSPEECH 2013: 1801-1805 - [c18]Tanel Alumäe:
Multi-domain neural network language model. INTERSPEECH 2013: 2182-2186 - 2012
- [c17]Kaarel Kaljurand, Tanel Alumäe
:
Controlled Natural Language in Speech Recognition Based User Interfaces. CNL 2012: 79-94 - [c16]Tanel Alumäe
:
Transcription System for Semi-Spontaneous Estonian Speech. Baltic HLT 2012: 10-17 - [c15]Tanel Alumäe, Kaarel Kaljurand:
Maximum Entropy Language Model Adaptation for Mobile Speech Input. INTERSPEECH 2012: 178-181 - [c14]Kairit Sirts, Tanel Alumäe:
A Hierarchical Dirichlet Process Model for Joint Part-of-Speech and Morphology Induction. HLT-NAACL 2012: 407-416 - [c13]Tanel Alumäe, Kaarel Kaljurand:
Open and extendable speech recognition application architecture for mobile environments. SLTU 2012: 15-18 - 2011
- [c12]Tanel Alumäe, Ahti Kitsik:
TSAB - Web Interface for Transcribed Speech Collections. INTERSPEECH 2011: 3335-3336 - 2010
- [c11]Tanel Alumäe, Mikko Kurimo:
Domain Adaptation of Maximum Entropy Language Models. ACL (2) 2010: 301-306 - [c10]Tanel Alumäe
, Einar Meister
:
Estonian Large Vocabulary Speech Recognition System for Radiology. Baltic HLT 2010: 33-38 - [c9]Teemu Ruokolainen, Tanel Alumäe
, Marcus Dobrinkat:
Using Dependency Grammar Features in Whole Sentence Maximum Entropy Language Model for Speech Recognition. Baltic HLT 2010: 73-79 - [c8]Tanel Alumäe, Mikko Kurimo:
Efficient estimation of maximum entropy language models with n-gram features: an SRILM extension. INTERSPEECH 2010: 1820-1823
2000 – 2009
- 2008
- [c7]Tanel Alumäe
:
Comparison of Different Modeling Units for Language Model Adaptation for Inflected Languages. CICLing 2008: 488-499 - 2007
- [c6]Tanel Alumäe, Toomas Kirt:
LSA-based language model adaptation for highly inflected languages. INTERSPEECH 2007: 2357-2360 - [c5]Tanel Alumäe:
Automatic Compound Word Reconstruction for Speech Recognition of Compounding Languages. NODALIDA 2007: 5-12 - 2006
- [c4]Tanel Alumäe
:
Sentence-Adapted Factored Language Model for Transcribing Estonian Speech. ICASSP (1) 2006: 429-432 - [c3]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 - 2004
- [j1]Tanel Alumäe, Leo Vohandu:
Limited-Vocabulary Estonian Continuous Speech Recognition System using Hidden Markov Models. Informatica 15(3): 303-314 (2004) - [c2]Tanel Alumäe:
Large vocabulary continuous speech recognition for estonian using morpheme classes. INTERSPEECH 2004: 389-392 - [c1]Tanel Alumäe
:
Large Vocabulary Continuous Speech Recognition for Estonian Using Morphemes and Classes. TSD 2004: 245-252
Coauthor Index
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last updated on 2024-08-08 19:18 CEST by the dblp team
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