| Deep learning for computational biology C Angermueller, T Pärnamaa, L Parts, O Stegle Molecular systems biology 12 (7), 878, 2016 | 1559 | 2016 |
| 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 | 167 | 2017 |
| A neural knowledge language model S Ahn, H Choi, T Pärnamaa, Y Bengio arXiv preprint arXiv:1608.00318, 2016 | 153 | 2016 |
| 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 | 92 | 2021 |
| Icassp 2023 acoustic echo cancellation challenge R Cutler, A Saabas, T Pärnamaa, M Purin, E Indenbom, NC Ristea, ... IEEE Open Journal of Signal Processing, 2024 | 76 | 2024 |
| INTERSPEECH 2021 Acoustic Echo Cancellation Challenge. R Cutler, A Saabas, T Pärnamaa, M Loide, S Sootla, M Purin, H Gamper, ... Interspeech, 4748-4752, 2021 | 50 | 2021 |
| 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 | 7 | 2023 |
| Deep model with built-in cross-attention alignment for acoustic echo cancellation E Indenbom, NC Ristea, A Saabas, T Pärnamaa, J Gužvin arXiv preprint arXiv:2208.11308, 2022 | 7 | 2022 |
| Deep model with built-in self-attention alignment for acoustic echo cancellation E Indenbom, NC Ristea, A Saabas, T Pärnamaa, J Guzvin arXiv preprint arXiv:2208.11308, 2022 | 7 | 2022 |
| Real-Time Joint Personalized Speech Enhancement and Acoustic Echo Cancellation SE Eskimez, T Yoshioka, A Ju, M Tang, T Parnamaa, H Wang arXiv preprint arXiv:2211.02773, 2022 | 3 | 2022 |
| 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 | 3 | 2022 |
| 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 | 2 | 2023 |
| 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 | 1 | 2015 |
| Personalized Speech Enhancement Without a Separate Speaker Embedding Model T Pärnamaa, A Saabas arXiv preprint arXiv:2406.09928, 2024 | | 2024 |
| Joint Acoustic Echo Cancellation (AEC) and Personalized Noise Suppression (PNS) SE Eskimez, T Yoshioka, H Wang, AC JU, M Tang, T Pärnamaa US Patent App. 18/172,017, 2024 | | 2024 |
| Method and system for analyzing surroundings of an autonomous or semi-autonomous vehicle K Korjus, S Kharagorgiiev, A Heinla, T Pärnamaa US Patent 11,741,709, 2023 | | 2023 |
| Segumudeli õppimine osaliselt sildistatud andmetest T Pärnamaa Tartu Ülikool, 2013 | | 2013 |
