Noise Level Prediction
2 papers with code • 1 benchmarks • 1 datasets
T2: Noise Level Prediction: Estimating the noise level experienced by the Listener from physiological signals (EEG, GSR, PPG). Six different levels of background noise (SNR) Label: -6, -3, 0, 3, 6, and inf (noise-free) in dB.
PhyAAt
Most implemented papers
PhyAAt: Physiology of Auditory Attention to Speech Dataset
In this article, we present a dataset of physiological signals collected from an experiment on auditory attention to natural speech.
NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GAN
Therefore, recent studies have proposed methods that employ data-driven generative models, such as Generative Adversarial Networks (GAN) and Normalizing Flows.
