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A novel silent speech recognition approach based on parallel inception convolutional neural network and Mel frequency spectral coefficient
Silent speech recognition breaks the limitations of automatic speech recognition when acoustic signals cannot be produced or captured clearly, but still has a long way to go before being ready for any real-life applications. To address this issue, we propose a novel silent speech recognition framewo...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478652/ https://www.ncbi.nlm.nih.gov/pubmed/36119717 http://dx.doi.org/10.3389/fnbot.2022.971446 |