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What is E2E Framework for Brain Signal Decoding about?
This paper presents an innovative end-to-end framework for decoding invasive brain signals using large language models (LLMs), significantly advancing speech neuroprosthesis technology. The proposed system achieves a word error rate of 23.8% across a vocabulary of 125,000 words, demonstrating comparable performance to traditional hybrid models while simplifying the training process. This research highlights the potential of LLMs in enhancing communication restoration for individuals with speech impairments
- Author
- blachkat.07
- Language
- EN