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Acoustic-to-articulatory Speech Inversion with Multi-task Learning.

, , and . INTERSPEECH, page 5020-5024. ISCA, (2022)

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Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide., , , , , , , and . CoRR, (2019)An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide., , , , , , and . CoRR, (2020)Pindrop Labs' Submission to the First Multi-Target Speaker Detection and Identification Challenge., , , , and . INTERSPEECH, page 1502-1505. ISCA, (2019)Generalization of Audio Deepfake Detection., , , , and . Odyssey, page 132-137. ISCA, (2020)Speech Synthesis in the Wild., , and . INTERSPEECH, page 3217-3218. ISCA, (2018)Smoothing Model Predictions Using Adversarial Training Procedures for Speech Based Emotion Recognition., , , and . ICASSP, page 4934-4938. IEEE, (2018)Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech., , , and . Comput. Speech Lang., (2019)Vocal Tract Length Normalization for Speaker Independent Acoustic-to-Articulatory Speech Inversion., , , , and . INTERSPEECH, page 455-459. ISCA, (2016)Adversarial Auto-Encoders for Speech Based Emotion Recognition., , , , and . INTERSPEECH, page 1243-1247. ISCA, (2017)A machine learning workflow for molecular analysis: application to melting points., , , , , , and . Mach. Learn. Sci. Technol., 1 (2): 25015 (2020)