Facebook新模型通過腦電波解碼語音,給失語症患者帶來曙光
["Facebook Research開發BrainMagick模型,通過EEG和MEG記錄的腦電活動,解碼出匹配的語音內容。","該模型在MEG記錄中,語音片段Top-10準確率達72.5%,Top-1準確率達41%,支持解碼未見過的單詞。","爲語言功能障礙的失語症患者提供非侵入性的溝通希望,不需要接受腦手術的風險。","項目已在GitHub開源,使用一塊16GB顯存的GPU即可執行相關訓練,隨數據量增加,性能還可提升。","這一研究成果發表在Nature頂刊上,獲得網友高度評價和關注。"]
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