Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Biosignal sensors and deep learning-based speech recognition: A review
Voice is one of the essential mechanisms for communicating and expressing one's
intentions as a human being. There are several causes of voice inability, including disease …
intentions as a human being. There are several causes of voice inability, including disease …
Continuous speech processing
Speech processing in the human brain is grounded in non-specific auditory processing in
the general mammalian brain, but relies on human-specific adaptations for processing …
the general mammalian brain, but relies on human-specific adaptations for processing …
Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces
Brain-computer interfaces (BCIs) have attracted considerable attention in motor and
language rehabilitation. Most devices use cap-based non-invasive, headband-based …
language rehabilitation. Most devices use cap-based non-invasive, headband-based …
[HTML][HTML] Decoding the auditory brain with canonical component analysis
The relation between a stimulus and the evoked brain response can shed light on
perceptual processes within the brain. Signals derived from this relation can also be …
perceptual processes within the brain. Signals derived from this relation can also be …
Flexible electrodes for brain–computer interface system
Brain–computer interface (BCI) has been the subject of extensive research recently.
Governments and companies have substantially invested in relevant research and …
Governments and companies have substantially invested in relevant research and …
Comparison of two-talker attention decoding from EEG with nonlinear neural networks and linear methods
Auditory attention decoding (AAD) through a brain-computer interface has had a flowering of
developments since it was first introduced by Mesgarani and Chang (2012) using …
developments since it was first introduced by Mesgarani and Chang (2012) using …
Cortical encoding of melodic expectations in human temporal cortex
Humans engagement in music rests on underlying elements such as the listeners' cultural
background and interest in music. These factors modulate how listeners anticipate musical …
background and interest in music. These factors modulate how listeners anticipate musical …
Ten challenges for EEG-based affective computing
The emerging field of affective computing focuses on enhancing computers' ability to
understand and appropriately respond to people's affective states in human-computer …
understand and appropriately respond to people's affective states in human-computer …
EEG-transformer: Self-attention from transformer architecture for decoding EEG of imagined speech
YE Lee, SH Lee - 2022 10th International winter conference on …, 2022 - ieeexplore.ieee.org
Transformers are groundbreaking architectures that have changed a flow of deep learning,
and many high-performance models are develo** based on transformer architectures …
and many high-performance models are develo** based on transformer architectures …
Neural decoding of attentional selection in multi-speaker environments without access to clean sources
Objective. People who suffer from hearing impairments can find it difficult to follow a
conversation in a multi-speaker environment. Current hearing aids can suppress …
conversation in a multi-speaker environment. Current hearing aids can suppress …