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...

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Detalles Bibliográficos
Autores principales: Wu, Jinghan, Zhang, Yakun, Xie, Liang, Yan, Ye, Zhang, Xu, Liu, Shuang, An, Xingwei, Yin, Erwei, Ming, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
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

Internet

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

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