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Identifying underlying articulatory targets of Thai vowels from acoustic data based on an analysis-by-synthesis approach.

, , and . EURASIP J. Audio Speech Music. Process., (2014)

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Prediction of Voicing and the F0 Contour from Electromagnetic Articulography Data for Articulation-to-Speech Synthesis., , and . ICASSP, page 7329-7333. IEEE, (2020)Optical force and distance sensing in intraoral devices for stroke rehabilitation: a distance calibration and force classification approach., , and . ITG Symposium on Speech Communication, page 1-5. VDE / IEEE, (2018)Relationship between the acoustic time intervals and tongue movements of German diphthongs., , and . INTERSPEECH, page 734-738. ISCA, (2022)Glottal inverse filtering based on articulatory synthesis and deep learning., , , and . INTERSPEECH, page 1327-1331. ISCA, (2022)Finding Intelligible Consonant-Vowel Sounds Using High-Quality Articulatory Synthesis., , , , , and . INTERSPEECH, page 4457-4461. ISCA, (2020)An Investigation of the Target Approximation Model for Tone Modeling and Recognition in Continuous Mandarin Speech., , , , and . INTERSPEECH, page 1913-1917. ISCA, (2020)Training an articulatory synthesizer with continuous acoustic data., , and . INTERSPEECH, page 349-353. ISCA, (2013)Identifying underlying articulatory targets of Thai vowels from acoustic data based on an analysis-by-synthesis approach., , and . EURASIP J. Audio Speech Music. Process., (2014)Acoustic Comparison of Physical Vocal Tract Models with Hard and Soft Walls., , and . ICASSP, page 8242-8246. IEEE, (2022)Estimation of Pitch Targets from Speech Signals by Joint Regularized Optimization., , and . EUSIPCO, page 2075-2079. IEEE, (2018)