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Modeling Turn-Taking in Human-To-Human Spoken Dialogue Datasets Using Self-Supervised Features.

, , , , and . ICASSP, page 1-5. IEEE, (2023)

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Improving CNN-Based Viseme Recognition Using Synthetic Data., , and . ICME, page 1-6. IEEE Computer Society, (2018)Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible Inputs., , , , , , , and . Interspeech, page 4723-4727. ISCA, (2021)Improving Viseme Recognition with GAN-based Muti-view Mapping., , and . FG, page 1-8. IEEE, (2019)Resource-Adaptive Deep Learning for Visual Speech Recognition., , , and . INTERSPEECH, page 3510-3514. ISCA, (2020)Speech Emotion Recognition Using Self-Supervised Features., , , , , and . ICASSP, page 6922-6926. IEEE, (2022)Neural TTS Voice Conversion., , , , , and . SLT, page 290-296. IEEE, (2018)Audio-Assisted Image Inpainting for Talking Faces., , , and . ICASSP, page 7664-7668. IEEE, (2020)Algoritmos OPWI e LDM-GA para sistemas de conversão texto-fala de alta qualidade empregando a tecnologia SCAUS.. University of Campinas, Brazil, (2006)ndltd.org (oai:repositorio.unicamp.br:REPOSIP/260757).A Dynamic Multi-criteria Multi-engine Approach for Text Simplification., , and . IJCNN, page 1-8. IEEE, (2021)End-to-End Spoken Language Understanding Using Transformer Networks and Self-Supervised Pre-Trained Features., , , , and . ICASSP, page 7483-7487. IEEE, (2021)