Results 21 to 30 of about 2,537,807 (351)
ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 It remains a tough challenge to recover the speech signals contaminated by various noises under real acoustic environments. To this end, we propose a novel system for denoising in the complicated applications, which is mainly comprised of two pipelines ...
Andong Li +4 more
semanticscholar +1 more source
Bistatic noise radar: Demonstration of correlation noise suppression
IET Radar, Sonar & Navigation, 2023 In this study, spatial separation of the radar transmitter and receiver units is considered, as a means of reducing the masking effect in noise radars.
Martin Ankel +4 more
doaj +1 more source
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results [PDF]
Interspeech, 2020 The INTERSPEECH 2020 Deep Noise Suppression (DNS) Challenge is intended to promote collaborative research in real-time single-channel Speech Enhancement aimed to maximize the subjective (perceptual) quality of the enhanced speech.
Chandan K. A. Reddy +12 more
semanticscholar +1 more source
Sensor noise suppression [PDF]
Journal of Neuroscience Methods, 2008 We present a method to remove the effects of sensor-specific noise in multiple-channel recordings such as magnetoencephalography (MEG) or electroencephalography (EEG). The method assumes that every source of interest is picked up by more than one sensor, as is the case with systems with spatially dense sensors.
Alain, de Cheveigné, Jonathan Z, Simon
openaire +2 more sources
Adaptive Wavelet Noise Suppression [PDF]
, 2023 Adaptive Wavelet Noise Suppression is a software package for suppressing the noise presented in clinical proton magnetic resonance ...
Zhao, Dadi
core +2 more sources
Suppression Method of Optical Noises in Resonator-Integrated Optic Gyroscopes
Sensors, 2022 Resonator-integrated optical gyroscopes have advantages such as all-solid-state, on-chip integration, miniaturized structure, and high precision. However, many factors deteriorate the performance and push it far from the shot-noise limited theoretical ...
Xuebao Kuai +5 more
doaj +1 more source
Y$^2$-Net FCRN for Acoustic Echo and Noise Suppression [PDF]
Interspeech, 2021 In recent years, deep neural networks (DNNs) were studied as an alternative to traditional acoustic echo cancellation (AEC) algorithms. The proposed models achieved remarkable performance for the separate tasks of AEC and residual echo suppression (RES).
Ernst Seidel +3 more
semanticscholar +1 more source
AIP Advances, 2022 Magnetic resonance detection of tunnel as a non-invasive, direct and quantitative geophysical method for detecting groundwater has attracted much attention in the research of tunnel water hazard early warning. In view of the complex environment where the
Shu Diao, Bori Shi, Aoshu Xu
doaj +1 more source
Suppression of Cavity Time-Delay Signature Using Noise-Phase-Modulated Feedback
IEEE Access, 2020 We propose reconfiguration of the conventional feedback scheme to suppress the external-cavity time-delay signature (TDS) by adding noise phase modulation in the feedback of semiconductor laser.
Hong Han +3 more
doaj +1 more source
ICASSP 2021 Deep Noise Suppression Challenge [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 The Deep Noise Suppression (DNS) challenge is designed to foster innovation in the area of noise suppression to achieve superior perceptual speech quality.
Chandan K. A. Reddy +7 more
semanticscholar +1 more source