A brain-computer interface system for recognizing the intention of Chinese oral language based on a sound-meaning integration double model

By collecting neural signals from different areas of the brain and constructing speech and semantic decoders, combined with sEEG technology, the problems of homophones and similar-sounding words in spoken Chinese were solved, achieving accurate recognition and reconstruction of spoken Chinese intentions and improving the communication ability of ALS patients.

CN121560160BActive Publication Date: 2026-07-03BEIJING TIANTAN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV
1 Cites 0 Cited by

Patent Information

Application Number
CN202511722796.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-21
Publication Date
2026-07-03
Estimated Expiration
2045-11-21

AI Technical Summary

Technical Problem

Existing language-based brain-computer interface systems struggle to effectively decode spoken Chinese, especially when faced with homophones, synonyms, and words with similar pronunciations. This results in low speech synthesis efficiency, failing to meet the communication needs of ALS patients.

Method used

Using stereotactic intracranial electroencephalography (sEEG) technology, neural signals are collected in the articulation and motor coding areas and the semantic concept organization coding areas of the brain, respectively. A speech decoder and a semantic decoder are constructed, and combined with a vocalization activation decoder, a Chinese word speech-semantic fusion synthesizer is formed to achieve accurate locking and reconstruction of Chinese spoken intention.

Benefits of technology

It improves the efficiency and accuracy of Chinese speech synthesis, effectively identifies and reconstructs spoken Chinese intentions, and enhances the communication ability of ALS patients.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The application provides a Chinese spoken language intention recognition brain-computer interface system based on a sound-meaning integration double model, belongs to the technical field of biomedical engineering, and relates to language brain-computer interface technology. Taking sound-meaning integration as the core, the stereotactic intracranial electroencephalogram (sEEG) technology is adopted to collect neural signals of the brain articulatory motor coding area and the semantic concept organization coding area. The system comprises a voice initiation decoder, a speech decoder, a semantic decoder and a Chinese word speech-semantic fusion synthesizer, the target decoder is constructed by extracting high gamma band features of key brain areas of the frontal lobe (left inferior frontal gyrus, premotor cortex, etc.), the temporal lobe (anterior temporal lobe, dorsolateral temporal lobe, etc.). At the same time, a visual and auditory induction training paradigm is matched, three tasks of listening to sound to group words, looking at words to group words and word association are set, and the subjects are supported to generate words independently. The system effectively solves the homonym and near homonym word ambiguity problem in Chinese spoken language recognition, and provides a precise interactive tool for ALS and other speech disorder patients.
Need to check novelty before this filing date? Find Prior Art