Results 51 to 60 of about 926 (186)
WEIGHTED MAGNITUDE-PHASE LOSS FOR SPEECH DEREVERBERATION
, 2021 In real rooms, recorded speech usually contains reverberation, which degrades the quality and intelligibility of the speech. It has proven effective to use neural networks to estimate complex ideal ratio masks (cIRMs) using mean square error (MSE) loss ...
WANG, WENWU +2 more
core +1 more source
Model-Informed Speech Enhancement Using Virtual Room Acoustics and Acoustic Descriptor Optimization
SensorsReverberation and background noise remain persistent obstacles to achieving clear and intelligible speech in enclosed environments. Conventional data-driven or purely empirical dereverberation systems often perform well only under training conditions but
Samuel Yaw Mensah +3 more
doaj +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 +6 more
wiley +1 more source
Guided spectrogram filtering for speech dereverberation
, 2018 Guided filtering is a computationally efficient and powerful technique used in image processing applications, such as edge-preserving smoothing, details enhancing and single image dehazing.
Tan, Zheng Hua; id_orcid +7 more
core +1 more source
Implementation of Hybrid Speech Dereverberation Systems and Proposing Dual Microphone Farsi Database in Order to Evaluating Enhancement Systems [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2013 In various applications, such as speech recognition and automatic teleconferencing, the recorded speech signals may be corrupted by both noise and reverberation. Reverberation causes a noticeable change in speech intelligibility and quality.
Farhad Faghani, Hamid Reza Abutalebi
doaj
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
Delay and Predict Equalization for Blind Speech Dereverberation [PDF]
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006 In this paper, we consider the blind multichannel dereverberation problem for a single source. The multichannel reverberation impulse response is assumed to be stationary enough to allow estimation of the correlations it induces from the received signals.
Mahdi Triki, Dirk T. M. Slock
openaire +1 more source
IEEE Access, 2019 The accuracy performance of traditional direction of arrival (DOA) estimation algorithms is seriously affected by the reverberation. Considering the advantage of the sparse characteristic of speech signal in time-frequency (T-F) domain, this paper ...
Qiang Fu, Bo Jing, Pengju He
doaj +1 more source
, 2011 Blind identification of single-input multiple-output (SIMO) systems is not normally possible if common zeros exist in the channels. Studies of measured acoustic SIMO systems show that near-common zeros occur in such systems as encountered in the speech ...
Lin, Shawn Xiang. +5 more
core +1 more source
Iteratively Refined Multi-Channel Speech Separation
Applied SciencesThe combination of neural networks and beamforming has proven very effective in multi-channel speech separation, but its performance faces a challenge in complex environments.
Xu Zhang +3 more
doaj +1 more source