| Quantifying Bias in Automatic Speech Recognition S Feng, O Kudina, BM Halpern, O Scharenborg arXiv preprint arXiv:2103.15122, 2021 | 92 | 2021 |
| Towards identity preserving normal to dysarthric voice conversion WC Huang, BM Halpern, LP Violeta, O Scharenborg, T Toda ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 17 | 2022 |
| Mitigating bias against non-native accents Y Zhang, Y Zhang, BM Halpern, T Patel, O Scharenborg Proceedings of the Annual Conference of the International Speech …, 2022 | 17 | 2022 |
| The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition L Prananta, BM Halpern, S Feng, O Scharenborg arXiv preprint arXiv:2201.04908, 2022 | 15 | 2022 |
| Detecting and analysing spontaneous oral cancer speech in the wild BM Halpern, R van Son, M Brekel, O Scharenborg Interspeech 2020, 4826-4830, 2020 | 14 | 2020 |
| Residual networks for resisting noise: analysis of an embeddings-based spoofing countermeasure BM Halpern, F Kelly, R van Son, A Alexander Speaker Odyssey 2020, 0 | 13* | |
| An objective evaluation framework for pathological speech synthesis BM Halpern, J Fritsch, E Hermann, R van Son, O Scharenborg, MM Doss ITG Speech Communications 2021, 2021 | 12 | 2021 |
| Towards inclusive automatic speech recognition S Feng, BM Halpern, O Kudina, O Scharenborg Computer Speech & Language, 101567, 2023 | 9 | 2023 |
| Pathological voice adaptation with autoencoder-based voice conversion M Illa, BM Halpern, R van Son, L Moro-Velazquez, O Scharenborg Speech Synthesis Workshop 2021, 2021 | 8 | 2021 |
| Low-resource automatic speech recognition and error analyses of oral cancer speech BM Halpern, S Feng, R van Son, M van den Brekel, O Scharenborg Speech Communication, 2022 | 7 | 2022 |
| Objective speech outcomes after surgical treatment for oral cancer: An acoustic analysis of a spontaneous speech corpus containing 32.850 tokens TB Tienkamp, RJJH van Son, BM Halpern Journal of Communication Disorders, 106292, 2022 | 2 | 2022 |
| Manipulation of oral cancer speech using neural articulatory synthesis BM Halpern, T Rebernik, T Tienkamp, R van Son, M Brekel, M Wieling, ... arXiv preprint arXiv:2203.17072, 2022 | 2 | 2022 |
| Quantifying changes in articulatory working space following oral cancer treatment T Tienkamp, T Rebernik, B Halpern, D Abur, R van Son, S de Visscher, ... 8th International Conference on Speech Motor Control: SMC2022, 2022 | 1 | 2022 |
| Quantifying Articulatory Working Space in Individuals Surgically Treated for Oral Cancer With Electromagnetic Articulography TB Tienkamp, T Rebernik, BM Halpern, RJJH van Son, M Wieling, ... Journal of Speech, Language, and Hearing Research 67 (2), 384-399, 2024 | | 2024 |
| Associations between acoustic, kinematic, self-reported and perceptual based measures of speech in individuals surgically treated for oral cancer T Tienkamp, T Rebernik, B Halpern, R van Son, M Wieling, M Witjes, ... 2024 Motor Speech Conference, 2024 | | 2024 |
| Improving severity preservation of healthy-to-pathological voice conversion with global style tokens BM Halpern, WC Huang, LP Violeta, R van Son, T Toda arXiv preprint arXiv:2310.02570, 2023 | | 2023 |
| Automatic evaluation of spontaneous oral cancer speech using ratings from naive listeners BM Halpern, S Feng, R van Son, M van den Brekel, O Scharenborg Speech Communication, 2023 | | 2023 |
| Making speech technology accessible for pathological speakers BM Halpern | | 2022 |
| Speaker-informed speech enhancement and separation BM Halpern, F Kelly, A Alexander IAFPA, 2021 | | 2021 |
| Automatic Speech Recognition and Error Analyses of Dutch Oral Cancer Speech K Wildenburg, BM Halpern, T Rebernik, T Tienkamp, RJJH van Son, ... | | |
Rob J. J. H. van SonNetherlands Cancer InstituteE-mail megerősítve itt: nki.nl
