Speech Recognition using EEG signals recorded using dry electrodes
In this paper, we demonstrate speech recognition using electroencephalography (EEG) signals obtained using dry electrodes on a limited English vocabulary consisting of three vowels and one word using a deep learning model. We demonstrate a test accuracy of 79.07 percent on a subset vocabulary consisting of two English vowels. Our results demonstrate the feasibility of using EEG signals recorded using dry electrodes for performing the task of speech recognition.
Code (0)
등록된 구현이 없습니다.
Tasks
EEGElectroencephalogram (EEG)speech-recognitionSpeech RecognitionSimilar Papers 제목 키워드 기반
Understanding effect of speech perception in EEG based speech recognition systems
The electroencephalography (EEG) signals recorded in parallel with speech are used to perform isolated and continuous speech recognition. During speaking process, one also hears his or her own speech and this speech perc…
EEGElectroencephalogram (EEG)speech-recognitionSpeech RecognitionTowards EMG-to-Speech with a Necklace Form Factor
Electrodes for decoding speech from electromyography (EMG) are typically placed on the face, requiring adhesives that are inconvenient and skin-irritating if used regularly. We explore a different device form factor, whe…
Electromyography (EMG)FormContinuous Silent Speech Recognition using EEG
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…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)EEGElectroencephalogram (EEG)+4Study of cognitive component of auditory attention to natural speech events
Event-related potentials (ERP) have been used to address a wide range of research questions in neuroscience and cognitive psychology including selective auditory attention. The recent progress in auditory attention decod…
EEGElectroencephalogram (EEG)ERPOptimal Adaptive Electrode Selection to Maximize Simultaneously Recorded Neuron Yield
Neural-Matrix style, high-density electrode arrays for brain-machine interfaces (BMIs) and neuroscientific research require the use of multiplexing: Each recording channel can be routed to one of several electrode sites …