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 …

Imagined speech, also known as inner, covert, or silent speech, means how to express
thoughts silently without moving the vocal apparatus. Imagined speech reconstruction (ISR) …

Electroencephalography (EEG) signals are crucial data to understand brain activities. Thus,
many papers have been proposed about EEG signals. In particular, machine learning …

Speech imagery (SI) is a Brain-Computer Interface (BCI) paradigm based on EEG signals
analysis where the user imagines speaking out a vowel, phoneme, syllable, or word without …

Speech decoding from non-invasive EEG signals can achieve relatively high accuracy (70–
80%) for strictly delimited classification tasks, but for more complex tasks non-invasive …

This systematic review examines EEG-based imagined speech classification, emphasizing
directional words essential for development in the brain–computer interface (BCI). This study …

Nowadays, brain-computer interface (BCI) technologies aim to develop an intuitive and
effective system for decoding speech-related processes from brain activity data, often using …

Imagined speech recognition has developed as a significant topic of research in the field of
brain-computer interfaces. This innovative technique has great promise as a communication …

Neuroimaging is revolutionizing our ability to investigate the brain's structural and functional
properties, enabling us to visualize brain activity during diverse mental processes and …

Communication is challenging for disabled individuals, but with advancement of brain-
computer interface (BCI) systems, alternative communication systems can be developed …