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A study on quantitative computation for prosodie strength of Mandarin speech.

, , , and . APSIPA, page 926-930. IEEE, (2017)

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Cross-language comparison of F0 range in speakers of native Chinese, native Japanese and Chinese L2 of Japanese: Preliminary results of a corpus-based analysis., , and . ISCSLP, page 241-244. IEEE, (2014)Kurtosis Normalization in Feature Space for Robust Speaker Verification., , , and . ICASSP (1), page 117-120. IEEE, (2006)Speech Stimulus Continuum Generation: A Deep Learning Approach., , and . IALP, page 137-141. IEEE, (2021)Formant Tracking Using Dilated Convolutional Networks Through Dense Connection with Gating Mechanism., , , , , , and . INTERSPEECH, page 150-154. ISCA, (2020)Automatic Pronunciation Evaluation of Non-Native Mandarin Tone by Using Multi-Level Confidence Measures., , and . INTERSPEECH, page 2666-2670. ISCA, (2016)Relationships Between Perceptual Distinctiveness, Articulatory Complexity and Functional Load in Speech Communication., , , , , and . Interspeech, page 1733-1737. ISCA, (2021)A Preliminary Study on Quantitative Calculation of Prosodic Strength in Mandarin Speech., , and . ISCSLP, page 439-443. IEEE, (2018)LSTM-Based Pitch Range Estimation from Spectral Information of Brief Speech Input., , , and . ISCSLP, page 349-353. IEEE, (2018)Improve the Accuracy of Non-native Speech Annotation with a Semi-automatic Approach., , , , and . ISCSLP, page 116-120. IEEE, (2018)Acoustic Comparison of Vowel Articulation When Combined with Different Tone Categories in Mandarin., , and . O-COCOSDA, page 27-31. IEEE, (2018)