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Speaker-Independent Silent Speech Recognition From Flesh-Point Articulatory Movements Using an LSTM Neural Network.

, , , and . IEEE ACM Trans. Audio Speech Lang. Process., 25 (12): 2323-2336 (2017)

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Towards Automatic Detection of Amyotrophic Lateral Sclerosis from Speech Acoustic and Articulatory Samples., , , and . INTERSPEECH, page 1195-1199. ISCA, (2016)Multiview Representation Learning via Deep CCA for Silent Speech Recognition., , , and . INTERSPEECH, page 2769-2773. ISCA, (2017)Articulation-to-Speech Synthesis Using Articulatory Flesh Point Sensors' Orientation Information., , , , , and . INTERSPEECH, page 3152-3156. ISCA, (2018)Speaker-Independent Silent Speech Recognition From Flesh-Point Articulatory Movements Using an LSTM Neural Network., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 25 (12): 2323-2336 (2017)Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency., , , , and . INTERSPEECH, page 4781-4785. ISCA, (2020)Tongue and Lip Motion Patterns in Alaryngeal Speech., , , , , , and . INTERSPEECH, page 4576-4580. ISCA, (2020)Dysarthric Speech Recognition Using Convolutional LSTM Neural Network., , , and . INTERSPEECH, page 2948-2952. ISCA, (2018)Integrating Articulatory Information in Deep Learning-Based Text-to-Speech Synthesis., , , , and . INTERSPEECH, page 254-258. ISCA, (2017)Preliminary Test of a Wireless Magnetic Tongue Tracking System for Silent Speech Interface., , , , and . BioCAS, page 1-4. IEEE, (2018)