Mel frequency cepstral coefficient and its applications: A review
Feature extraction and representation has significant impact on the performance of any
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …
Tongue contour tracking and segmentation in lingual ultrasound for speech recognition: A review
Lingual ultrasound imaging is essential in linguistic research and speech recognition. It has
been used widely in different applications as visual feedback to enhance language learning …
been used widely in different applications as visual feedback to enhance language learning …
EEG based continuous speech recognition using transformers
In this paper we investigate continuous speech recognition using electroencephalography
(EEG) features using recently introduced end-to-end transformer based automatic speech …
(EEG) features using recently introduced end-to-end transformer based automatic speech …
Constrained variational autoencoder for improving EEG based speech recognition systems
In this paper we introduce a recurrent neural network (RNN) based variational autoencoder
(VAE) model with a new constrained loss function that can generate more meaningful …
(VAE) model with a new constrained loss function that can generate more meaningful …
Continuous and discrete decoding of overt speech with electroencephalography
Neurological disorders affecting speech production adversely impact quality of life for over 7
million individuals in the US. Traditional speech interfaces like eyetracking devices and …
million individuals in the US. Traditional speech interfaces like eyetracking devices and …
Improving EEG based continuous speech recognition using GAN
In this paper we demonstrate that it is possible to generate more meaningful
electroencephalography (EEG) features from raw EEG features using generative adversarial …
electroencephalography (EEG) features from raw EEG features using generative adversarial …
[PDF][PDF] Vision Transformer-based Context-Aware System for Lingual Ultrasound in Digital Health Ecosystem
K Al-hammuri - 2024 - dspace.library.uvic.ca
The complex nature of modern healthcare systems and the widespread distribution of
healthcare infrastructure made the interoperability within healthcare information system …
healthcare infrastructure made the interoperability within healthcare information system …
Analysis of Time Domain Features of Dysarthria Speech
In general, Speech can be described as the ability to express thoughts and feelings by
articulating sounds in order to communicate with the person who understand the speech …
articulating sounds in order to communicate with the person who understand the speech …
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 …
perform isolated and continuous speech recognition. During speaking process, one also …
Brain Computer Interface-EEG based Imagined Word Prediction Using Convolutional Neural Network Visual Stimuli for Speech Disability
B Chinta, M Moorthi - 2022 - researchsquare.com
Abstract Brain Computer Interface (BCI) is one of the fast-growing technological trends,
which finds its applications in the field of the healthcare sector. In this work, 16 electrodes of …
which finds its applications in the field of the healthcare sector. In this work, 16 electrodes of …