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Tanel Pärnamaa
Tanel Pärnamaa
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Verified email at stat24.ee
Title
Cited by
Cited by
Year
Deep learning for computational biology
C Angermueller, T Pärnamaa, L Parts, O Stegle
Molecular systems biology 12 (7), 878, 2016
14862016
Accurate classification of protein subcellular localization from high-throughput microscopy images using deep learning
T Pärnamaa, L Parts
G3: Genes, Genomes, Genetics 7 (5), 1385-1392, 2017
1602017
A neural knowledge language model
S Ahn, H Choi, T Pärnamaa, Y Bengio
arXiv preprint arXiv:1608.00318, 2016
1492016
ICASSP 2021 acoustic echo cancellation challenge: Datasets, testing framework, and results
K Sridhar, R Cutler, A Saabas, T Parnamaa, M Loide, H Gamper, S Braun, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
852021
ICASSP 2022 acoustic echo cancellation challenge
R Cutler, A Saabas, T Parnamaa, M Purin, H Gamper, S Braun, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
622022
INTERSPEECH 2021 Acoustic Echo Cancellation Challenge.
R Cutler, A Saabas, T Pärnamaa, M Loide, S Sootla, M Purin, H Gamper, ...
Interspeech, 4748-4752, 2021
472021
Deep model with built-in self-attention alignment for acoustic echo cancellation
E Indenbom, NC Ristea, A Saabas, T Pärnamaa, J Gužvin
arXiv preprint arXiv:2208.11308, 2022
62022
Real-Time Joint Personalized Speech Enhancement and Acoustic Echo Cancellation with E3Net
SE Eskimez, T Yoshioka, A Ju, M Tang, T Parnamaa, H Wang
arXiv preprint arXiv:2211.02773, 2022
42022
DeepVQE: Real Time Deep Voice Quality Enhancement for Joint Acoustic Echo Cancellation, Noise Suppression and Dereverberation
E Indenbom, NC Ristea, A Saabas, T Parnamaa, J Guzvin, R Cutler
arXiv preprint arXiv:2306.03177, 2023
32023
Method, system and device for analyzing pedestrian motion patterns
R Ferenets, T Pärnamaa, S Sootla, T Saar, A Heinla
US Patent App. 17/798,600, 2023
12023
Piltide automaatne kirjeldamine eesti keeles–visuaalse ja semantilise ühisesituse õppimine neurovõrkudega.[Translating pictures to Estonian–learning shared representations of …
T Pärnamaa
Magistritöö. Käsikiri Tartu ülikooli matemaatilise statistika instituudis …, 2015
12015
Method and system for analyzing robot surroundings
K Korjus, S Kharagorgiiev, A Heinla, T Pärnamaa
US Patent App. 17/057,086, 2021
2021
Segumudeli õppimine osaliselt sildistatud andmetest
T Pärnamaa
Tartu Ülikool, 2013
2013
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