Fundamentals, present and future perspectives of speech enhancement

N Das, S Chakraborty, J Chaki, N Padhy… - International Journal of …, 2021 - Springer
Speech enhancement has substantial interest in the utilization of speaker identification,
video-conference, speech transmission through communication channels, speech-based …

Review Study of Image De-Noising on Digital Image Processing and Applications

CSK Abdulah, MNKH Rohani, B Ismail… - … in Applied Sciences …, 2023 - semarakilmu.com.my
This paper reviews several studies of image de-noising on digital image processing and
applications. Noisy images contain different noise that exist either due to environment or …

Speech enhancement for hearing aids with deep learning on environmental noises

G Park, W Cho, KS Kim, S Lee - Applied Sciences, 2020 - mdpi.com
Hearing aids are small electronic devices designed to improve hearing for persons with
impaired hearing, using sophisticated audio signal processing algorithms and technologies …

Multichannel Speech Enhancement based on Neural Beamforming and a Context-Focused Post-Filtering Network

C Pang, J Fan, Q Shen, Y Xie, C Huang… - … on Cognitive and …, 2023 - ieeexplore.ieee.org
Both spatial and temporal contextual information are essential for the multichannel speech
enhancement (MCSE) task. In this work, we propose a unified MCSE network composed of …

Minimum mean square error estimator for speech enhancement in additive noise assuming Weibull speech priors and speech presence uncertainty

M Bahrami, N Faraji - International Journal of Speech Technology, 2021 - Springer
A novel single-channel technique was proposed based on a minimum mean square error
(MMSE) estimator to enhance short-time spectral amplitude (STSA) in the Discrete Fourier …

A novel voice activity detection for multi-channel noise reduction

R Çolak, R Akdenіz - Ieee Access, 2021 - ieeexplore.ieee.org
In this study, a voice activity detection technique is designed using features such as short-
term energy, periodicity and spectral flatness. The desired results are obtained by using …

[PDF][PDF] A cascaded speech enhancement for hearing aids in noisy-reverberant conditions

X Chen, Y Shi, W Xiao, M Wang, T Wu… - … Clarity Workshop on …, 2021 - claritychallenge.org
Hearing aid users suffer from poor listening experiences under noise and reverberation.
This paper introduces a cascaded speech enhancement system to improve the intelligibility …

A fully convolutional neural network approach to end-to-end speech enhancement

F Longueira, S Keene - arXiv preprint arXiv:1807.07959, 2018 - arxiv.org
This paper will describe a novel approach to the cocktail party problem that relies on a fully
convolutional neural network (FCN) architecture. The FCN takes noisy audio data as input …

Discrete Wavelet Transform and Spectral Subtraction Based Speech Enhancement Algorithm for Hearing Aid Application

Y Iqbal, T Zhang, Y Geng, M Fahad, X Zhao… - 2024 - researchsquare.com
Hearing aids are small electronic devices intended to help those with hearing loss improve
their hearing ability with the use of advanced audio signal processing techniques and …

Improving audio of emergency calls in Spanish performed to the ECU 911 through filters for ASR technology

M Orellana, ÁA Jiménez Sarango… - X Jornadas de Cloud …, 2022 - sedici.unlp.edu.ar
In recent years, Automatic Speech Recognition (ASR) services have performed notable
progress in the research efforts of big companies such as Google and Amazon. However …