Wei Li

Orcid: 0000-0001-7824-4839

Affiliations:
  • Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA


According to our database1, Wei Li authored at least 10 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Bibliography

2020
Improving mispronunciation Detection and Enriching Diagnostic feedback for non-Native Learners of Mandarin.
PhD thesis, 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 Interspeech 2017, 2017

2016
Detecting Mispronunciations of L2 Learners and Providing Corrective Feedback Using Knowledge-Guided and Data-Driven Decision Trees.
Proceedings of the Interspeech 2016, 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


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