Acoustic Inspired Brain-to-Sentence Decoder for Logosyllabic Language

Acoustic Inspired Brain-to-Sentence Decoder for Logosyllabic Language

Recent advances in brain–computer interfaces (BCIs) have demonstrated the potential to decode language from brain activity into sound or text, which has predominantly focused on alphabetic languages, such as English. However, logosyllabic languages, such as Mandarin Chinese, present marked challenge...

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Bibliographic Details
Main Authors: Chen Feng, Lu Cao, Di Wu, En Zhang, Ting Wang, Xiaowei Jiang, Jinbo Chen, Hui Wu, Siyu Lin, Qiming Hou, Junming Zhu, Jie Yang, Mohamad Sawan, Yue Zhang
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2025-01-01
Series:Cyborg and Bionic Systems
Online Access:https://spj.science.org/doi/10.34133/cbsystems.0257
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