Results 61 to 70 of about 215 (163)

Time‐lapse applications of the Marchenko method on the Troll field

Geophysical Prospecting, Volume 72, Issue 3, Page 1026-1036, March 2024.
Abstract The data‐driven Marchenko method is able to redatum wavefields to arbitrary locations in the subsurface, and can, therefore, be used to isolate zones of specific interest. This creates a new reflection response of the target zone without interference from over‐ or underburden reflectors.
Johno van IJsseldijk, Joeri Brackenhoff, Jan Thorbecke, Kees Wapenaar   +3 more
wiley   +1 more source

Segmentation‐enhanced gamma spectrum denoising based on deep learning

IET Communications, Volume 18, Issue 1, Page 63-80, January 2024.
This paper proposes a segmentation‐enhanced convolutional neural network‐stacked denoising autoencoder (CNN‐SDAE) method based on convolutional feature extraction network and stacked denoising autoencoder to achieve gamma spectrum denoising, which adopts the idea of data segmentation to enhance the learning ability of the neural network.
Xiangqun Lu, Hongzhi Zheng, Yaqiong Liu, Hongxing Li, Qingyun Zhou, Tao Li, Hongguang Yang   +6 more
wiley   +1 more source

Inverse Filtering for Speech Dereverberation Less Sensitive to Noise and Room Transfer Function Fluctuations

EURASIP Journal on Advances in Signal Processing, 2007
Inverse filtering of room transfer functions (RTFs) is considered an attractive approach for speech dereverberation given that the time invariance assumption of the used RTFs holds.
Masato Miyoshi, Marc Delcroix, Takafumi Hikichi   +2 more
doaj   +2 more sources

An online algorithm for echo cancellation, dereverberation and noise reduction based on a Kalman-EM Method

EURASIP Journal on Audio, Speech, and Music Processing, 2021
Many modern smart devices are equipped with a microphone array and a loudspeaker (or are able to connect to one). Acoustic echo cancellation algorithms, specifically their multi-microphone variants, are essential components in such devices.
Nili Cohen, Gershon Hazan, Boaz Schwartz, Sharon Gannot   +3 more
doaj   +1 more source

Room-Acoustic Simulations as an Alternative to Measurements for Audio-Algorithm Evaluation

IEEE Access
Audio-signal-processing and audio-machine-learning (ASP/AML) algorithms are ubiquitous in modern technology like smart devices, wearables, and entertainment systems.
Georg Gotz, Daniel Gert Nielsen, Steinar Gudjonsson, Finnur Pind   +3 more
doaj   +1 more source

AdVerb: Visually Guided Audio Dereverberation

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Accepted at ICCV 2023.
Sanjoy Chowdhury, Sreyan Ghosh, Subhrajyoti Dasgupta, Anton Ratnarajah, Utkarsh Tyagi, Dinesh Manocha   +5 more
openaire   +2 more sources

Inverse Filtering and Principal Component Analysis Techniques for Speech Dereverberation

Advances in Electrical and Electronic Engineering, 2016
In this work, we present a single channel approach for early and late reverberation suppression. This approach can be decomposed into two stages. The first stage employs the inverse filter to augment the signal-to-reverberant energy ratio.
Mohamed Anouar Ben Messaoud, Aicha Bouzid   +1 more
doaj   +1 more source

Low Delay Noise Reduction and Dereverberation for Hearing Aids

EURASIP Journal on Advances in Signal Processing, 2009
A new system for single-channel speech enhancement is proposed which achieves a joint suppression of late reverberant speech and background noise with a low signal delay and low computational complexity.
Heinrich W. Löllmann, Peter Vary   +1 more
doaj   +1 more source

Improving the conditioning of the optimization criterion in acoustic multi-channel equalization using shorter reshaping filters

EURASIP Journal on Advances in Signal Processing, 2018
In acoustic multi-channel equalization techniques, such as complete multi-channel equalization based on the multiple-input/output inverse theorem (MINT), relaxed multi-channel least-squares (RMCLS), and partial multi-channel equalization based on MINT ...
Ina Kodrasi, Simon Doclo
doaj   +1 more source

Underwater Reverberation Suppression Using Wavelet Transform and Complementary Learning

Oceans
Reverberation is the primary interference of active detection. Therefore, the effective suppression of reverberation is a prerequisite for reliable signal processing.
Jiajie Liu, Qunfei Zhang, Xiaodong Cui, Chencong Tang, Zijun Pu   +4 more
doaj   +1 more source