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Using an Automated Content Scoring Engine for Spoken CALL Responses: The ETS submission for the Spoken CALL Challenge.

, , , and . SLaTE, page 97-102. ISCA, (2017)

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Neural Approaches to Automated Speech Scoring of Monologue and Dialogue Responses., , , , , , and . ICASSP, page 8112-8116. IEEE, (2019)A DNN-based acoustic modeling of tonal language and its application to Mandarin pronunciation training., , and . ICASSP, page 3206-3210. IEEE, (2014)Improved mispronunciation detection with deep neural network trained acoustic models and transfer learning based logistic regression classifiers., , , and . Speech Commun., (2015)RIch-context Unit Selection (RUS) approach to high quality TTS., , and . ICASSP, page 4798-4801. IEEE, (2010)A cross-language state mapping approach to bilingual (Mandarin-English) TTS., , , and . ICASSP, page 4641-4644. IEEE, (2008)Drug-Target Interaction Prediction Based on Multi-Similarity Fusion and Sparse Dual-Graph Regularized Matrix Factorization., , , and . IEEE Access, (2021)Cross-Dialectal Voice Conversion with Neural Networks., , and . IEICE Trans. Inf. Syst., 97-D (11): 2872-2880 (2014)A Unified Trajectory Tiling Approach to High Quality Speech Rendering., , and . IEEE Trans. Speech Audio Process., 21 (2): 280-290 (2013)Sequence generation error (SGE) minimization based deep neural networks training for text-to-speech synthesis., , , and . INTERSPEECH, page 864-868. ISCA, (2015)Modeling and Generating Tone Contour with Phrase Intonation for Mandarin Chinese Speech., , , and . ISCSLP, page 121-124. IEEE, (2008)