| Neural representations for modeling variation in speech M Bartelds, W de Vries, F Sanal, C Richter, M Liberman, M Wieling Journal of Phonetics 92, 101137, 2022 | 31 | 2022 |
| A new acoustic-based pronunciation distance measure M Bartelds, C Richter, M Liberman, M Wieling Frontiers in Artificial Intelligence 3, 39, 2020 | 28 | 2020 |
| Alternation-Sensitive Phoneme Learning: Implications For Children's Development And Language Change C Richter University of Pennsylvania, 2021 | 17 | 2021 |
| Low-resource post processing of noisy OCR output for historical corpus digitisation C Richter, M Wickes, D Beser, M Marcus Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 13 | 2018 |
| Learning allophones: What input is necessary C Richter, AB Bertolini, MJ Kaplan Proceedings of the 42nd annual Boston University Conference on Language …, 2018 | 13 | 2018 |
| Transparent/aɪ/-raising as a contact phenomenon J Kodner, C Richter University of Pennsylvania Working Papers in Linguistics 25 (2), 8, 2020 | 10 | 2020 |
| Evaluating low-level speech features against human perceptual data C Richter, NH Feldman, H Salgado, A Jansen Transactions of the Association for Computational Linguistics 5, 425-440, 2017 | 9 | 2017 |
| A framework for evaluating speech representations C Richter, NH Feldman, H Salgado, A Jansen Proceedings of the Annual Conference of the Cognitive Science Society, 2016 | 8 | 2016 |
| Relative Dynamic Time Warping Comparison for Pronunciation Errors C Richter, J Guðnason ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 7 | 2023 |
| Morphological segmentation for low resource languages J Mott, A Bies, S Strassel, J Kodner, C Richter, H Xu, M Marcus Proceedings of the 12th Language Resources and Evaluation Conference, 3996-4002, 2020 | 6 | 2020 |
| Measuring foreign accent strength using an acoustic distance measure M Bartelds, W de Vries, C Richter, M Liberman, M Wieling 12th International Seminar on Speech Production, 17-20, 2021 | 4 | 2021 |
| Neural representations for modeling variation in english speech M Bartelds, W de Vries, F Sanal, C Richter, M Liberman, M Wieling arXiv preprint arXiv:2011.12649, 2020 | 4 | 2020 |
| Computer-assisted pronunciation training in Icelandic (CAPTinI): developing a method for quantifying mispronunciation in L2 speech C Richter, B Bédi, R Pálsson, J Guðnason Intelligent CALL, granular systems and learner data: short papers from …, 2022 | 1 | 2022 |
| Samromur L2 22.09 S Hedström, JY Fong, R Þórhallsdóttir, DE Mollberg, T Mestrou, ... Reykjavík University, 2022 | 1 | 2022 |
| Orthography-based pronunciation scoring for better CAPT feedback C Richter, R Pálsson, L O’Brien, K Friðriksdóttir, B Bédi, EH Magnúsdóttir, ... INTERSPEECH, 2023 | | 2023 |
