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.


Most implemented papers

PhyAAt: Physiology of Auditory Attention to Speech Dataset

Nikeshbajaj/phyaat 23 May 2020

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 with a Hybrid Approach based on Normalizing Flows and Generative Adversarial Networks

YoungJooHan/NM-FlowGAN 15 Dec 2023

In our experiments, our NM-FlowGAN outperforms other baselines on the sRGB noise synthesis task.