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Hsiao-Tsung Hung
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2020 – today
- 2020
- [c11]Bi-Cheng Yan, Meng-Che Wu, Hsiao-Tsung Hung, Berlin Chen:
An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling. INTERSPEECH 2020: 3032-3036 - [i1]Bi-Cheng Yan, Meng-Che Wu, Hsiao-Tsung Hung, Berlin Chen:
An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling. CoRR abs/2005.11950 (2020)
2010 – 2019
- 2017
- [c10]Chia-Hua Wu, Chun-I Tsai, Hsiao-Tsung Hung, Yu-Chen Kao, Berlin Chen:
序列標記與配對方法用於語音辨識錯誤偵測及修正 (On the Use of Sequence Labeling and Matching Methods for ASR Error Detection and Correction) [In Chinese]. ROCLING 2017: 354-369 - 2016
- [j3]Yao-Chi Hsu, Ming-Han Yang, Hsiao-Tsung Hung, Yi-Ju Lin, Kuan-Yu Chen, Berlin Chen:
Evaluation Metric-related Optimization Methods for Mandarin Mispronunciation Detection. Int. J. Comput. Linguistics Chin. Lang. Process. 21(2) (2016) - [j2]Ming-Han Yang, Yao-Chi Hsu, Hsiao-Tsung Hung, Ying-Wen Chen, Kuan-Yu Chen, Berlin Chen:
Leveraging Multi-Task Learning with Neural Network Based Acoustic Modeling for Improved Meeting Speech Recognition. Int. J. Comput. Linguistics Chin. Lang. Process. 21(2) (2016) - [c9]Yao-Chi Hsu, Ming-Han Yang, Hsiao-Tsung Hung, Berlin Chen:
Mispronunciation Detection Leveraging Maximum Performance Criterion Training of Acoustic Models and Decision Functions. INTERSPEECH 2016: 2646-2650 - [c8]Yao-Chi Hsu, Ming-Han Yang, Hsiao-Tsung Hung, Yi-Ju Lin, Berlin Chen:
評估尺度相關最佳化方法於華語錯誤發音檢測之研究(Evaluation Metric-related Optimization Methods for Mandarin Mispronunciation Detection) [In Chinese]. ROCLING 2016 - [c7]Hou-Chiang Tseng, Hsiao-Tsung Hung, Yao-Ting Sung, Berlin Chen:
基於深層類神經網路及表示學習技術之文件可讀性分類(Classification of Text Readability Based on Deep Neural Network and Representation Learning Techniques)[In Chinese]. ROCLING 2016 - [c6]Ming-Han Yang, Yao-Chi Hsu, Hsiao-Tsung Hung, Ying-Wen Chen, Berlin Chen, Kuan-Yu Chen:
融合多任務學習類神經網路聲學模型訓練於會議語音辨識之研究(Leveraging Multi-task Learning with Neural Network Based Acoustic Modeling for Improved Meeting Speech Recognition) [In Chinese]. ROCLING 2016 - [c5]Chun-I Tsai, Hsiao-Tsung Hung, Kuan-Yu Chen, Berlin Chen:
Extractive speech summarization leveraging convolutional neural network techniques. SLT 2016: 158-164 - 2015
- [j1]Ting-Hao Chang, Hsiao-Tsung Hung, Kuan-Yu Chen, Hsin-Min Wang, Berlin Chen:
Investigating Modulation Spectrum Factorization Techniques for Robust Speech Recognition. Int. J. Comput. Linguistics Chin. Lang. Process. 20(2) (2015) - [c4]Shih-Hung Liu, Hung-Shin Lee, Hsiao-Tsung Hung, Kuan-Yu Chen, Berlin Chen, Hsin-Min Wang
, Hsu-Chun Yen, Wen-Lian Hsu:
Incorporating proximity information in relevance language modeling for extractive speech summarization. APSIPA 2015: 401-407 - [c3]Ting-Hao Chang, Hsiao-Tsung Hung, Kuan-Yu Chen, Hsin-Min Wang, Berlin Chen:
調變頻譜分解之改良於強健性語音辨識(Several Refinements of Modulation Spectrum Factorization for Robust Speech Recognition) [In Chinese]. ROCLING 2015 - [c2]Ssu-Cheng Chen, Kuan-Yu Chen, Hsiao-Tsung Hung, Berlin Chen:
使用詞向量表示與概念資訊於中文大詞彙連續語音辨識之語言模型調適(Exploring Word Embedding and Concept Information for Language Model Adaptation in Mandarin Large Vocabulary Continuous Speech Recognition) [In Chinese]. ROCLING 2015 - [c1]Yao-Chi Hsu, Ming-Han Yang, Hsiao-Tsung Hung, Yuwen Hsiung, Yao-Ting Hung, Berlin Chen:
融合多種深層類神經網路聲學模型與分類技術於華語錯誤發音檢測之研究(Exploring Combinations of Various Deep Neural Network based Acoustic Models and Classification Techniques for Mandarin Mispro-nunciation Detection)[In Chinese]. ROCLING 2015
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