Speech Synthesis Using EEG
Gautam Krishna, Co Tran, Yan Han, Mason Carnahan, Ahmed H Tewfik
Abstract
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.
Topics & Concepts
ElectroencephalographySpeech recognitionComputer scienceFeature (linguistics)Active listeningArtificial neural networkArtificial intelligencePattern recognition (psychology)PsychologyCommunicationLinguisticsNeurosciencePhilosophySpeech Recognition and SynthesisEEG and Brain-Computer InterfacesSpeech and Audio Processing