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Speaking Rate Changes Affect Phone Durations Differently for Neutral and Emotional Speech., and . EUSIPCO, page 2070-2074. IEEE, (2018)Articulatory Copy Synthesis Based on the Speech Synthesizer VocalTractLab.. Dresden University of Technology, Germany, (2022)Improving Pronunciation Erroneous Tendency Detection with Multi-Model Soft Targets., , , , , and . J. Signal Process. Syst., 92 (8): 793-803 (2020)A study on robust detection of pronunciation erroneous tendency based on deep neural network., , , and . INTERSPEECH, page 693-696. ISCA, (2015)CONCSS: Contrastive-based Context Comprehension for Dialogue-appropriate Prosody in Conversational Speech Synthesis., , , , , , , , and . CoRR, (2023)Mining High-quality Samples from Raw Data and Majority Voting Method for Multimodal Emotion Recognition., , and . ACM Multimedia, page 9546-9550. ACM, (2023)DNN based detection of pronunciation erroneous tendency in data sparse condition., , , and . APSIPA, page 1-5. IEEE, (2016)M2-CTTS: End-to-End Multi-Scale Multi-Modal Conversational Text-to-Speech Synthesis., , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Articulatory Synthesis of Vocalized /r/ Allophones in German., , and . IEEE ACM Trans. Audio Speech Lang. Process., (2022)A Practical Way to Improve Automatic Phonetic Segmentation Performance., , , and . ISCSLP, page 1-5. IEEE, (2021)