AI突破：脑电波转化为语音助力瘫痪患者发声
加州大学伯克利分校和旧金山分校研究团队开发出革命性AI系统，能够实时将瘫痪患者的脑电波转化为自然语音，且保留患者原声音特征。该技术通过神经义肢采集大脑运动皮层的神经活动，并由AI将其解码为语音，处理延迟仅1秒，较2023年的研究成果缩短了7秒。
系统支持多种脑信号采集设备，包括高密度电极阵列、穿透脑表面的微电极以及非侵入式表面肌电图传感器。研究团队使用患者受伤前的声音样本训练文本到语音模型，通过让患者默读屏幕单词来映射神经活动与语言的关系。
研究人员表示，该技术能显著改善瘫痪及ALS患者的生活质量，未来将致力于加快AI处理速度并使输出语音更具表现力。
UC Berkeley Engineering
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Secure video calling is in high demand. As an alternative to Zoom, many people are using end-to-end encrypted apps such as WhatsApp, FaceTime or Signal to speak to friends and family face-to-face since coronavirus lockdowns started to take place across the world. There’s another option—secure communications app Telegram just added video calling to its feature set, available on both iOS and Android. The new feature is also super secure—like Signal and WhatsApp and unlike Zoom (yet), video calls will be end-to-end encrypted.
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