| A Study on Fine-Tuning wav2vec2. 0 Model for the Task of Mispronunciation Detection and Diagnosis L Peng, K Fu, B Lin, D Ke, J Zhang Interspeech, 4448-4452, 2021 | 43 | 2021 |
| A full text-dependent end to end mispronunciation detection and diagnosis with easy data augmentation techniques K Fu, J Lin, D Ke, Y Xie, J Zhang, B Lin arXiv preprint arXiv:2104.08428, 2021 | 39 | 2021 |
| Improving non-native word-level pronunciation scoring with phone-level mixup data augmentation and multi-source information K Fu, S Gao, K Wang, W Li, X Tian, Z Ma arXiv preprint arXiv:2203.01826, 2022 | 10 | 2022 |
| A Transfer and Multi-Task Learning based Approach for MOS Prediction X Tian, K Fu, S Gao, Y Gu, K Wang, W Li, Z Ma Proc. Interspeech 2022, 5438-5442, 2022 | 8 | 2022 |
| Using Fluency Representation Learned from Sequential Raw Features for Improving Non-native Fluency Scoring K Fu, S Gao, X Tian, W Li, MA Zejun Proc. Interspeech 2022, 4337-4341, 2022 | 7 | 2022 |
| Pronunciation Erroneous Tendency Detection with Language Adversarial Represent Learning. L Yang, K Fu, J Zhang, T Shinozaki INTERSPEECH, 3042-3046, 2020 | 7 | 2020 |
| Non-native acoustic modeling for mispronunciation verification based on language adversarial representation learning L Yang, K Fu, J Zhang, T Shinozaki Neural Networks 142, 597-607, 2021 | 6 | 2021 |
| Leveraging phone-level linguistic-acoustic similarity for utterance-level pronunciation scoring W Liu, K Fu, X Tian, S Shi, W Li, Z Ma, T Lee ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| An ASR-free fluency scoring approach with self-supervised learning W Liu, K Fu, X Tian, S Shi, W Li, Z Ma, T Lee ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| L2 mispronunciation verification based on acoustic phone embedding and siamese networks Y Xie, Z Wang, K Fu Journal of Signal Processing Systems, 1-11, 2020 | 4 | 2020 |
| Phonetic and Prosody-aware Self-supervised Learning Approach for Non-native Fluency Scoring K Fu, S Gao, S Shi, X Tian, W Li, Z Ma arXiv preprint arXiv:2305.11438, 2023 | | 2023 |
| Disentangling the Contribution of Non-native Speech in Automated Pronunciation Assessment S Shi, K Fu, Y Gu, X Tian, S Gao, W Li, Z Ma Interspeech, 2023 | | 2023 |
| A Study on the Robustness of Pitch-Range Estimation from Brief Speech Segments W Peng, K Fu, W Zhang, Y Xie, J Zhang International Journal of Asian Language Processing 30 (01), 2050003, 2020 | | 2020 |
| A Comparative study of rhythmic patterns in non-native Mandarin Speech By Russian, Japanese and Vietnamese learners Y Ding, W Dai, K Fu, Y Xie, J Zhang Proc. 10th International Conference on Speech Prosody 2020, 537-541, 2020 | | 2020 |
Shuju ShiResearch Scientist, ByteDance SingaporeBestätigte E-Mail-Adresse bei illinois.edu
