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Leveraging Phone-Level Linguistic-Acoustic Similarity For Utterance-Level Pronunciation Scoring.

, , , , , , and . ICASSP, page 1-5. IEEE, (2023)

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A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques., , , , , and . CoRR, (2021)Improving Non-native Word-level Pronunciation Scoring with Phone-level Mixup Data Augmentation and Multi-source Information., , , , , and . CoRR, (2022)Non-native acoustic modeling for mispronunciation verification based on language adversarial representation learning., , , and . Neural Networks, (2021)Leveraging Phone-Level Linguistic-Acoustic Similarity For Utterance-Level Pronunciation Scoring., , , , , , and . ICASSP, page 1-5. IEEE, (2023)An ASR-Free Fluency Scoring Approach with Self-Supervised Learning., , , , , , and . ICASSP, page 1-5. IEEE, (2023)L2 Mispronunciation Verification Based on Acoustic Phone Embedding and Siamese Networks., , and . J. Signal Process. Syst., 95 (7): 921-931 (July 2023)A Study on the Robustness of Pitch-Range Estimation from Brief Speech Segments., , , , and . Int. J. Asian Lang. Process., 30 (1): 2050003:1-2050003:14 (2020)Phonetic and Prosody-aware Self-supervised Learning Approach for Non-native Fluency Scoring., , , , , and . CoRR, (2023)Pronunciation Erroneous Tendency Detection with Language Adversarial Represent Learning., , , and . INTERSPEECH, page 3042-3046. ISCA, (2020)Using Fluency Representation Learned from Sequential Raw Features for Improving Non-native Fluency Scoring., , , , and . INTERSPEECH, page 4337-4341. ISCA, (2022)