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Found 8 papers, 2 papers with code
Neural Speech Embeddings for Speech Synthesis Based on Deep Generative Networks
Brain-to-speech technology represents a fusion of interdisciplinary applications encompassing fields of artificial intelligence, brain-computer interfaces, and speech synthesis.
Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals
Recent advances in brain-computer interface (BCI) technology, particularly based on generative adversarial networks (GAN), have shown great promise for improving decoding performance for BCI.
Subject-Independent Classification of Brain Signals using Skip Connections
A brain-computer interface system can be implemented using electroencephalogram signals because it poses more less clinical risk and can be acquired using portable instruments.
Towards Voice Reconstruction from EEG during Imagined Speech
Translating imagined speech from human brain activity into voice is a challenging and absorbing research issue that can provide new means of human communication via brain signals.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment
Recently, practical brain-computer interface is actively carried out, especially, in an ambulatory environment.
Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface
As a result, the reconstructed signals had important components such as N200 and P300 similar to ERP during standing.
