Multilingual speech-to-vocal tract visualization using deep learning for pronunciation training
Abstract Visualizing the vocal tract during speech remains a challenging task, even with recent advancements in open-source algorithms and datasets. A key limitation is the lack of multimodal resources that integrate audio with internal articulatory structures, which poses challenges to the developm...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
SpringerOpen
2025-12-01
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| Col·lecció: | EURASIP Journal on Audio, Speech, and Music Processing |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s13636-025-00438-x |
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