Learning discrete neural latent spaces for high-performance speech decoding
These results underscore the potential of our method to improve the functionality and usability of speech BCIs for people with aphasia.
Authors
- Yao Jia (ORCID: https://orcid.org/0000-0003-3118-3885)
- Yu Qi (ORCID: https://orcid.org/0000-0002-9789-8907)
- Qi Lian (ORCID: https://orcid.org/0009-0008-6244-6071)
- Lei Wang (ORCID: https://orcid.org/0000-0002-6109-5619)
- Yueming Wang (ORCID: https://orcid.org/0000-0002-5810-0894)
Institutions
- Zhejiang University of Science and Technology (CN)
- Ministry of Science and Technology (VN)
- Hangzhou Seventh Peoples Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Journal of Neural Engineering
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1088/1741-2552/ae2ccd
- Primary Topic
- Neurobiology of Language and Bilingualism
- Type
- article
- Field-Weighted Citation Impact
- 0.00