Audio Enhancement for Computer Audition—An Iterative Training Paradigm Using Sample Importance
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Computer Science and Technology"
DOI: 10.1007/s11390-024-2934-x
Abstract: Neural network models for audio tasks, such as automatic speech recognition (ASR) and acoustic scene classification (ASC), are susceptible to noise contamination for real-life applications. To improve audio quality, an enhancement module, which can be… read more here.
Keywords: computer; computer audition; speech; training paradigm ... See more keywords
Enhancing learning in a perceptual-cognitive training paradigm using EEG-neurofeedback.
Sign Up to like & getrecommendations! Published in 2021 at "Scientific reports"
DOI: 10.1038/s41598-021-83456-x
Abstract: This paper provides the framework and supporting evidence for a highly efficient closed-loop paradigm that modifies a classic learning scenario using real-time brain activity in order to improve learning performance in a perceptual-cognitive training paradigm… read more here.
Keywords: paradigm; perceptual cognitive; training paradigm; training ... See more keywords