Relating EEG to continuous speech using deep neural networks: a review.

C Puffay, B Accou, L Bollens, MJ Monesi… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. When a person listens to continuous speech, a corresponding response is elicited
in the brain and can be recorded using electroencephalography (EEG). Linear models are …

Transformer-Based Model for Auditory EEG Decoding

J Chen, YL Liu, R Feng, J Yuan, ZH Ling - National Conference on Man …, 2024 - Springer
During the process of speech perception, the listener's electroencephalographic (EEG)
signals is synchronized with acoustic features such as the speech envelope. This neural …

Deep neural networks as a model of speech perception

B Accou, T Francart - 2023 - lirias.kuleuven.be
A growing number of hearing-impaired people benefit from a hearing aid. Due to the current
labour-intensive behavioural diagnostics of the auditory system, hearing aids are not …

[PDF][PDF] Research of Speech Signals Backgrounds of the Ukrainian Language Using the Wavelet Transform.

O Tymchenko, B Havrysh, O Khamula, N Kustra - IntelITSIS, 2023 - ceur-ws.org
Perception of speech depends on many factors‒pace of pronunciation, presence of pauses
between words and phrases, surrounding noise. There are three pronunciation styles …

AudioDiffusion: Generating High-Quality Audios from EEG Signals: Reconstructing Audio from EEG Signals

D Qi, L Kong, L Yang, C Li - 2023 4th International Symposium …, 2023 - ieeexplore.ieee.org
The study proposed a new model for generating high-quality audio directly from the brain's
electroencephalogram (EEG) signal. AudioDiffusion uses pre-trained text-to-speech models …

Neural speech decoding with magnetoencephalography

D Dash - 2021 - repositories.lib.utexas.edu
Severe brain damage or amyotrophic lateral sclerosis (ALS) may lead the patients to a
locked-in state where the patients are motorically paralyzed otherwise being cognitively …