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Richeng Duan
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2020 – today
- 2023
- [c13]Richeng Duan:
Joint Learning Feature and Model Adaptation for Unsupervised Acoustic Modelling of Child Speech. INTERSPEECH 2023: 5227-5231 - [c12]Muhammad Huzaifah, Kye Min Tan, Richeng Duan:
I2R's End-to-End Speech Translation System for IWSLT 2023 Offline Shared Task. IWSLT@ACL 2023: 202-210 - 2022
- [c11]Kye Min Tan, Richeng Duan, Xin Huang, Bowei Zou, Xuan Long Do:
A Deep Learning Platform for Language Education Research and Development. INTERSPEECH 2022: 3949-3950 - 2021
- [c10]Richeng Duan, Nancy F. Chen
:
Senone-Aware Adversarial Multi-Task Training for Unsupervised Child to Adult Speech Adaptation. ICASSP 2021: 7758-7762 - [i1]Richeng Duan, Nancy F. Chen:
Senone-aware Adversarial Multi-task Training for Unsupervised Child to Adult Speech Adaptation. CoRR abs/2102.11488 (2021) - 2020
- [j2]Richeng Duan
, Tatsuya Kawahara
, Masatake Dantsuji, Hiroaki Nanjo:
Cross-Lingual Transfer Learning of Non-Native Acoustic Modeling for Pronunciation Error Detection and Diagnosis. IEEE ACM Trans. Audio Speech Lang. Process. 28: 391-401 (2020) - [c9]Ke Shi, Kye Min Tan, Richeng Duan, Siti Umairah Md. Salleh, Nur Farah Ain Suhaimi, Rajan Vellu, Ngoc Thuy Huong Helen Thai, Nancy F. Chen:
Computer-Assisted Language Learning System: Automatic Speech Evaluation for Children Learning Malay and Tamil. INTERSPEECH 2020: 1019-1020 - [c8]Richeng Duan, Nancy F. Chen
:
Unsupervised Feature Adaptation Using Adversarial Multi-Task Training for Automatic Evaluation of Children's Speech. INTERSPEECH 2020: 3037-3041
2010 – 2019
- 2018
- [b1]Richeng Duan:
Acoustic-articulatory DNN Model based on Transfer Learning for Pronunciation Error Detection and Diagnosis. Kyoto University, Japan, 2018 - [c7]Richeng Duan, Tatsuya Kawahara
, Masatake Dantsuji, Hiroaki Nanjo:
Efficient Learning of Articulatory Models Based on Multi-Label Training and Label Correction for Pronunciation Learning. ICASSP 2018: 6239-6243 - 2017
- [j1]Richeng Duan, Tatsuya Kawahara
, Masatake Dantsuji, Jinsong Zhang
:
Articulatory Modeling for Pronunciation Error Detection without Non-Native Training Data Based on DNN Transfer Learning. IEICE Trans. Inf. Syst. 100-D(9): 2174-2182 (2017) - [c6]Richeng Duan, Tatsuya Kawahara
, Masatake Dantsuji, Jinsong Zhang
:
Effective articulatory modeling for pronunciation error detection of L2 learner without non-native training data. ICASSP 2017: 5815-5819 - [c5]Richeng Duan, Tatsuya Kawahara
, Masatake Dantsuji, Hiroaki Nanjo:
Transfer Learning based Non-native Acoustic Modeling for Pronunciation Error Detection. SLaTE 2017: 42-46 - 2016
- [c4]Richeng Duan, Tatsuya Kawahara
, Masatake Dantsuji, Jinsong Zhang
:
Multi-lingual and multi-task DNN learning for articulatory error detection. APSIPA 2016: 1-4 - [c3]Richeng Duan, Tatsuya Kawahara
, Masatake Dantsuji, Jinsong Zhang
:
Pronunciation error detection using DNN articulatory model based on multi-lingual and multi-task learning. ISCSLP 2016: 1-5 - 2014
- [c2]Richeng Duan, Jinsong Zhang, Wen Cao, Yanlu Xie:
A preliminary study on ASR-based detection of Chinese mispronunciation by Japanese learners. INTERSPEECH 2014: 1478-1481 - [c1]Richeng Duan, Jinsong Zhang, Yanlu Xie, Wen Cao:
Automatic mispronunciation detection for Mandarin Chinese based on articulation place and articulation manner. ISCSLP 2014: 434
Coauthor Index
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