NSE-CATNet: deep neural speech enhancement using convolutional attention transformer network

N Saleem, TS Gunawan, M Kartiwi, BS Nugroho… - IEEE …, 2023 - ieeexplore.ieee.org
Speech enhancement (SE) is a critical aspect of various speech-processing applications.
Recent research in this field focuses on identifying effective ways to capture the long-term …

Multi-attention bottleneck for gated convolutional encoder-decoder-based speech enhancement

N Saleem, TS Gunawan, M Shafi, S Bourouis… - IEEE …, 2023 - ieeexplore.ieee.org
Convolutional encoder-decoder (CED) has emerged as a powerful architecture, particularly
in speech enhancement (SE), which aims to improve the intelligibility and quality and …

[PDF][PDF] Real-Time Speech Enhancement Based on Convolutional Recurrent Neural Network.

S Girirajan, A Pandian - Intelligent Automation & Soft Computing, 2023 - cdn.techscience.cn
Speech enhancement is the task of taking a noisy speech input and producing an enhanced
speech output. In recent years, the need for speech enhancement has been increased due …

Cassava leaf disease identification and detection using deep learning approach

J Anitha, N Saranya - International Journal of Computers …, 2022 - univagora.ro
Agriculture is the primary source of livelihood for about 60% of the world's total population
according to the Food and Agricultural Organization (FAO). The economy of the developing …

Substantial phase exploration for intuiting COVID using form expedient with variance sensor

RR Chandan, PR Kshirsagar, H Manoharan… - … Journal Of Computers …, 2022 - univagora.ro
This article focuses on implementing wireless sensors for monitoring exact distance
between two individuals and to check whether everybody have sanitized their hands for …

Speech enhancement with noise estimation and filtration using deep learning models

S Kantamaneni, A Charles, TR Babu - Theoretical Computer Science, 2023 - Elsevier
Speech enhancement helps in eliminating the environmental noises from the
communication signals. The main intention of the augmentation system is to develop the …

Intelligent model for avoiding road accidents using artificial neural network

M Kushwaha, MS Abirami - INTERNATIONAL JOURNAL OF …, 2023 - univagora.ro
Accidents typically occurred on roads, resulting in significant societal losses. Road accidents
are a worldwide issue that result in the loss of precious human lives and property. The …

Speech signal analysis and enhancement using combined wavelet Fourier transform with stacked deep learning architecture

V Srinivasarao - International Journal of Speech Technology, 2023 - Springer
Speech enhancement is a process of improving the quality and intelligibility of the degraded
speech signal. Various techniques have been demonstrated in the literature employing …

Speech Enhancement Techniques in the Digital, Analog, and Hybrid Domains

JLM Iqbal, A Karthik - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Speech intelligibility, clarity, and naturalness may all be improved by the use of signal
processing techniques. You may come across similar processing in applications like mobile …

MFFR-net: Multi-scale feature fusion and attentive recalibration network for deep neural speech enhancement

N Saleem, S Bourouis - Digital Signal Processing, 2025 - Elsevier
Deep neural networks (DNNs) have been successfully applied in advancing speech
enhancement (SE), particularly in overcoming the challenges posed by nonstationary noisy …