Zobrazeno 1 - 10
of 31 767
pro vyhledávání: '"Lee, A Hyun"'
This study examines the effectiveness of traditional machine learning classifiers versus deep learning models for detecting the imagined speech using electroencephalogram data. Specifically, we evaluated conventional machine learning techniques such
Externí odkaz:
http://arxiv.org/abs/2412.12215
Brain-computer interfaces (BCIs) have shown promise in enabling communication for individuals with motor impairments. Recent advancements like brain-to-speech technology aim to reconstruct speech from neural activity. However, decoding communication-
Externí odkaz:
http://arxiv.org/abs/2411.09400
This study investigates the sleep characteristics and brain activity of individuals in the gray zone of insomnia, a population that experiences sleep disturbances yet does not fully meet the clinical criteria for chronic insomnia. Thirteen healthy pa
Externí odkaz:
http://arxiv.org/abs/2411.09875
Brain signals accompany various information relevant to human actions and mental imagery, making them crucial to interpreting and understanding human intentions. Brain-computer interface technology leverages this brain activity to generate external c
Externí odkaz:
http://arxiv.org/abs/2411.09243
Interpreting human neural signals to decode static speech intentions such as text or images and dynamic speech intentions such as audio or video is showing great potential as an innovative communication tool. Human communication accompanies various f
Externí odkaz:
http://arxiv.org/abs/2411.09211
In recent years, brain-computer interfaces have made advances in decoding various motor-related tasks, including gesture recognition and movement classification, utilizing electroencephalogram (EEG) data. These developments are fundamental in explori
Externí odkaz:
http://arxiv.org/abs/2411.09170
As we enter the era of big data, collecting high-quality data is very important. However, collecting data by humans is not only very time-consuming but also expensive. Therefore, many scientists have devised various methods to collect data using comp
Externí odkaz:
http://arxiv.org/abs/2410.12561
Low-light image enhancement (LLIE) is essential for numerous computer vision tasks, including object detection, tracking, segmentation, and scene understanding. Despite substantial research on improving low-quality images captured in underexposed con
Externí odkaz:
http://arxiv.org/abs/2410.09831
We propose a new fast algorithm optimized for full-wave electromagnetic (EM) scattering analysis of a large-scale cloud of chaffs with arbitrary orientation, spatial distribution, and length. By leveraging the unique EM scattering characteristics in
Externí odkaz:
http://arxiv.org/abs/2410.03060
We present NanoVoice, a personalized text-to-speech model that efficiently constructs voice adapters for multiple speakers simultaneously. NanoVoice introduces a batch-wise speaker adaptation technique capable of fine-tuning multiple references in pa
Externí odkaz:
http://arxiv.org/abs/2409.15760