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Wei Li
Wei Li
Bytedance
Verified email at bytedance.com
Title
Cited by
Cited by
Year
Improving non-native mispronunciation detection and enriching diagnostic feedback with DNN-based speech attribute modeling
W Li, SM Siniscalchi, NF Chen, CH Lee
2016 IEEE international conference on acoustics, speech and signal …, 2016
1022016
Improving Mispronunciation Detection for Non-Native Learners with Multisource Information and LSTM-Based Deep Models.
W Li, NF Chen, SM Siniscalchi, CH Lee
Interspeech, 2759-2763, 2017
402017
Detecting Mispronunciations of L2 Learners and Providing Corrective Feedback Using Knowledge-Guided and Data-Driven Decision Trees.
W Li, K Li, SM Siniscalchi, NF Chen, CH Lee
Interspeech 2016, 3127-3131, 2016
322016
Improving Mandarin tone recognition based on DNN by combining acoustic and articulatory features using extended recognition networks
J Lin, W Li, Y Gao, Y Xie, NF Chen, SM Siniscalchi, J Zhang, CH Lee
Journal of Signal Processing Systems 90, 1077-1087, 2018
282018
Improving mispronunciation detection of mandarin tones for non-native learners with soft-target tone labels and BLSTM-based deep tone models
W Li, NF Chen, SM Siniscalchi, CH Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019
242019
A cross-task transfer learning approach to adapting deep speech enhancement models to unseen background noise using paired senone classifiers
S Wang, W Li, SM Siniscalchi, CH Lee
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
232020
A study on functional loads of phonetic contrasts under context based on mutual information of Chinese text and phonemes
J Zhang, W Li, Y Hou, W Cao, Z Xiong
2010 7th International Symposium on Chinese Spoken Language Processing, 194-198, 2010
222010
Improving audio-visual speech recognition performance with cross-modal student-teacher training
W Li, S Wang, M Lei, SM Siniscalchi, CH Lee
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
172019
Salmonn: Towards generic hearing abilities for large language models
C Tang, W Yu, G Sun, X Chen, T Tan, W Li, L Lu, Z Ma, C Zhang
arXiv preprint arXiv:2310.13289, 2023
142023
Improving accent conversion with reference encoder and end-to-end text-to-speech
W Li, B Tang, X Yin, Y Zhao, W Li, K Wang, H Huang, Y Wang, Z Ma
arXiv preprint arXiv:2005.09271, 2020
112020
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
102022
Using Fluency Representation Learned from Sequential Raw Features for Improving Non-native Fluency Scoring.
K Fu, S Gao, X Tian, W Li, Z Ma, A Bytedance
INTERSPEECH, 4337-4341, 2022
72022
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
INTERSPEECH, 5438-5442, 2022
72022
Improving mandarin tone mispronunciation detection for non-native learners with soft-target tone labels and blstm-based deep models
W Li, NF Chen, SM Siniscalchi, CH Lee
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
72018
Using tone-based extended recognition network to detect non-native Mandarin tone mispronunciations
W Li, SM Siniscalchi, NF Chen, CH Lee
2016 Asia-Pacific Signal and Information Processing Association Annual …, 2016
72016
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
42023
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
42023
A Quantitative Study on Information Contribution of Prosody Phrase Boundaries in Chinese Speech
J Zhang, W Li, Y Xie, W Cao
Speech Prosody 2012, 2012
22012
A multi-task and transfer learning based approach for MOS prediction
X Tian, K Fu, S Gao, Y Gu, K Wang, W Li, Z Ma, AI Bytedance
12022
Improving mispronunciation detection and enriching diagnostic feedback for non-native learners of Mandarin
W Li
Georgia Institute of Technology, 2019
12019
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