一个神经语音解码框架,利用深度学习和语音合成
bioRxiv : the preprint server for biology
|September 25, 2023
概括
研究人员开发了一种深度学习框架,用于从神经信号解码人类语音,使大脑与计算机接口的自然声音语音合成成为可能. 这种方法对恢复神经障碍患者的沟通充满希望.
科学领域:
- 神经科学是一个神经科学.
- 人工智能的人工智能
- 语音技术 语言技术
背景情况:
- 通过脑电脑接口 (BCI) 恢复神经缺陷患者的言语功能至关重要,但由于神经数据有限和信号处理复杂,具有挑战性.
- 现有的方法经常面临数据可用性,维度和开源代码稀缺性的局限性,阻碍了神经语音解码的进展.
结论:
- 这种深度学习框架为神经语音解码提供了强大的和可重复的方法,推进了用于语音恢复的BCI技术.
- 代码,预处理和可视化工具的开源发布将促进语音假肢的进一步研究和开发.
- 这一发现对为患有由于神经损伤造成的语言障碍的患者开发语音假肢具有重大意义.
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