论文标题
使用脑电图持续无声的语音识别
Continuous Silent Speech Recognition using EEG
论文作者
论文摘要
在本文中，我们使用脑电图（EEG）信号探讨了连续的无声语音识别。我们实现了连接派时间分类（CTC）自动语音识别（ASR）模型，以翻译并行记录的eeg信号，而受试者在脑海中读取英语句子而没有产生任何文本声音。我们的结果表明，使用EEG信号执行连续的无声语音识别的可行性。我们展示了有限的英语词汇量的结果，其中包含30个独特的句子。
In this paper we explore continuous silent speech recognition using electroencephalography (EEG) signals. We implemented a connectionist temporal classification (CTC) automatic speech recognition (ASR) model to translate EEG signals recorded in parallel while subjects were reading English sentences in their mind without producing any voice to text. Our results demonstrate the feasibility of using EEG signals for performing continuous silent speech recognition. We demonstrate our results for a limited English vocabulary consisting of 30 unique sentences.
