Wei Li
Orcid: 0000-0001-7824-4839Affiliations:
- ByteDance AI-Lab
- Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA
- Beijing Language and Culture University, College of Information Science, Beijing, China
According to our database1,
Wei Li
authored at least 27 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models.
CoRR, 2023
Disentangling the Contribution of Non-native Speech in Automated Pronunciation Assessment.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Phonetic and Prosody-aware Self-supervised Learning Approach for Non-native Fluency Scoring.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Leveraging Phone-Level Linguistic-Acoustic Similarity For Utterance-Level Pronunciation Scoring.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Improving Non-native Word-level Pronunciation Scoring with Phone-level Mixup Data Augmentation and Multi-source Information.
CoRR, 2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Using Fluency Representation Learned from Sequential Raw Features for Improving Non-native Fluency Scoring.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
2020
Improving mispronunciation Detection and Enriching Diagnostic feedback for non-Native Learners of Mandarin.
PhD thesis, 2020
CoRR, 2020
A Cross-Task Transfer Learning Approach to Adapting Deep Speech Enhancement Models to Unseen Background Noise Using Paired Senone Classifiers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Improving Mispronunciation Detection of Mandarin Tones for Non-Native Learners With Soft-Target Tone Labels and BLSTM-Based Deep Tone Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2019
Improving Audio-visual Speech Recognition Performance with Cross-modal Student-teacher Training.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Improving Mandarin Tone Recognition Based on DNN by Combining Acoustic and Articulatory Features Using Extended Recognition Networks.
J. Signal Process. Syst., 2018
Improving Mandarin Tone Mispronunciation Detection for Non-Native Learners with Soft-Target Tone Labels and BLSTM-Based Deep Models.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Improving Mispronunciation Detection for Non-Native Learners with Multisource Information and LSTM-Based Deep Models.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
2016
Detecting Mispronunciations of L2 Learners and Providing Corrective Feedback Using Knowledge-Guided and Data-Driven Decision Trees.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
Improving non-native mispronunciation detection and enriching diagnostic feedback with DNN-based speech attribute modeling.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Using tone-based extended recognition network to detect non-native Mandarin tone mispronunciations.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016
2013
Using Mutual Information Criterion to Design an Effective Lexicon for Chinese Pinyin-to-Character Conversion.
Proceedings of the 2013 International Conference on Asian Language Processing, 2013
2010
A study on Functional Loads of phonetic contrasts under context based on Mutual Information of Chinese text and phonemes.
Proceedings of the 7th International Symposium on Chinese Spoken Language Processing, 2010