A review of deep learning techniques for speech processing
The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …
learning. The use of multiple processing layers has enabled the creation of models capable …
Revisiting denoising diffusion probabilistic models for speech enhancement: Condition collapse, efficiency and refinement
Recent literature has shown that denoising diffusion probabilistic models (DDPMs) can be
used to synthesize high-fidelity samples with a competitive (or sometimes better) quality than …
used to synthesize high-fidelity samples with a competitive (or sometimes better) quality than …
U-shaped low-complexity type-2 fuzzy LSTM neural network for speech enhancement
Speech enhancement (SE) aims to improve the intelligibility and perceptual quality of
speech contaminated by noise signals through spectral or temporal changes. Deep learning …
speech contaminated by noise signals through spectral or temporal changes. Deep learning …
A novel jointly optimized cooperative DAE-DNN approach based on a new multi-target step-wise learning for speech enhancement
In this paper, we present a new supervised speech enhancement approach based on the
cooperative structure of deep autoencoders (DAEs) as generative models and deep neural …
cooperative structure of deep autoencoders (DAEs) as generative models and deep neural …
Channel and temporal-frequency attention UNet for monaural speech enhancement
S Xu, Z Zhang, M Wang - EURASIP Journal on Audio, Speech, and Music …, 2023 - Springer
The presence of noise and reverberation significantly impedes speech clarity and
intelligibility. To mitigate these effects, numerous deep learning-based network models have …
intelligibility. To mitigate these effects, numerous deep learning-based network models have …
PCNN: A Lightweight Parallel Conformer Neural Network for Efficient Monaural Speech Enhancement
Convolutional neural networks (CNN) and Transformer have wildly succeeded in multimedia
applications. However, more effort needs to be made to harmonize these two architectures …
applications. However, more effort needs to be made to harmonize these two architectures …
Review of speech enhancement methods using generative adversarial networks
D Skariah, J Thomas - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The goal of speech enhancement is to restore the quality of noise affected speech by
removing the noise. The purpose of speech enhancement is to increase the damaged …
removing the noise. The purpose of speech enhancement is to increase the damaged …
Teacher-Student Training Approach Using an Adaptive Gain Mask for LSTM-Based Speech Enhancement in the Airborne Noise Environment
P Huang, Y Wu - Chinese Journal of Electronics, 2023 - ieeexplore.ieee.org
Research on speech enhancement algorithms in the airborne environment is of great
significance to the security of airborne systems. Recently, the research focus of speech …
significance to the security of airborne systems. Recently, the research focus of speech …