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Using tone-based extended recognition network to detect non-native Mandarin tone mispronunciations.

, , , and . APSIPA, page 1-4. IEEE, (2016)

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Unsupervised data selection and word-morph mixed language model for tamil low-resource keyword search., , , , and . ICASSP, page 4714-4718. IEEE, (2015)Large-scale analysis of formant frequency estimation variability in conversational telephone speech., , , and . INTERSPEECH, page 2203-2206. ISCA, (2009)Using tone-based extended recognition network to detect non-native Mandarin tone mispronunciations., , , and . APSIPA, page 1-4. IEEE, (2016)ASR for Under-Resourced Languages From Probabilistic Transcription., , , , , , , , , and 6 other author(s). IEEE/ACM Trans. Audio, Speech & Language Processing, 25 (1): 46-59 (2017)SingaKids-Mandarin: Speech Corpus of Singaporean Children Speaking Mandarin Chinese., , , , , and . INTERSPEECH, page 1545-1549. ISCA, (2016)Context Aware Mispronunciation Detection for Mandarin Pronunciation Training., , , and . INTERSPEECH, page 3112-3116. ISCA, (2016)Multi-Task Learning for Mispronunciation Detection on Singapore Children's Mandarin Speech., , and . INTERSPEECH, page 2193-2197. ISCA, (2017)System and keyword dependent fusion for spoken term detection., , , , , , , and . SLT, page 430-435. IEEE, (2014)Pruning Strategies for Partial Search in Spoken Term Detection., , , , and . SoICT, page 114-119. ACM, (2017)Clustering-based Phonetic Projection in Mismatched Crowdsourcing Channels for Low-resourced ASR., , , , and . WSSANLP@COLING, page 133-141. The COLING 2016 Organizing Committee, (2016)