论文标题
使用脑电图的语音综合
Speech Synthesis using EEG
论文作者
论文摘要
在本文中，我们使用不同的脑电图（EEG）功能集证明了语音合成，最近在[1]中引入了语音合成。我们利用复发性神经网络（RNN）回归模型直接预测脑电图特征的声学特征。我们使用与口语语音并行录制的EEG功能以及使用与听话并行录制的EEG一起演示了结果。我们在本文中为四个主题提供了基于EEG的语音合成结果，我们的结果表明了直接从EEG特征中综合语音的可行性。
In this paper we demonstrate speech synthesis using different electroencephalography (EEG) feature sets recently introduced in [1]. We make use of a recurrent neural network (RNN) regression model to predict acoustic features directly from EEG features. We demonstrate our results using EEG features recorded in parallel with spoken speech as well as using EEG recorded in parallel with listening utterances. We provide EEG based speech synthesis results for four subjects in this paper and our results demonstrate the feasibility of synthesizing speech directly from EEG features.
