Results 1 to 10 of about 3,698 (171)

Speech Enhancement Algorithm Based on a Convolutional Neural Network Reconstruction of the Temporal Envelope of Speech in Noisy Environments

open access: yesIEEE Access, 2023
Temporal modulation processing is a promising technique for improving the intelligibility and quality of speech in noise. We propose a speech enhancement algorithm that constructs the temporal envelope (TEV) in the time-frequency domain by means of an ...
Rahim Soleymanpour   +4 more
doaj   +1 more source

Noise Reduction Using Wavelet Thresholding of Multitaper Estimators and Geometric Approach to Spectral Subtraction for Speech Coding Strategy [PDF]

open access: yesClinical and Experimental Otorhinolaryngology, 2012
ObjectivesNoise reduction using wavelet thresholding of multitaper estimators (WTME) and geometric approach to spectral subtraction (GASS) can improve speech quality of noisy sound for speech coding strategy.
Kai Chuan Chu, Charles T. M. Choi
doaj   +1 more source

Deep Learning-Based Speech Enhancement of an Extrinsic Fabry–Perot Interferometric Fiber Acoustic Sensor System

open access: yesSensors, 2023
To achieve high-quality voice communication technology without noise interference in flammable, explosive and strong electromagnetic environments, the speech enhancement technology of a fiber-optic external Fabry–Perot interferometric (EFPI) acoustic ...
Shiyi Chai   +3 more
doaj   +1 more source

Enhancements in encoded noisy speech data by background noise reduction

open access: yesIntelligent Systems with Applications, 2023
In this paper, we present recent improvements incorporated into an earlier speech encoding system that combined spectral subtraction with voice activity detection (SS-VAD) and linear predictive coding (LPC). The presence of background noise in the speech
Yadava G. Thimmaraja   +2 more
doaj   +1 more source

An Automatic Voice Test Method of HMI for Train with PerceptualEvaluation of Speech Quality

open access: yesKongzhi Yu Xinxi Jishu, 2021
During the train HMI speaker test, operator should judge the quality of voice by ear, which causes difference in HMI voice quality test by the influence of environment nosie, HMI assembly, etc.
GAO Feng, ZHANG Hongwei
doaj  

Elimination of Noise in Speech Signals Utilizing METS Deep Convolutional Neural Networks

open access: yesJournal of High-Frequency Communication Technologies
In the realm of digital signal processing, speech enhancement plays a crucial role in applications such as teleconferencing, voice recognition, and biometric systems.
Jung-Hua Wang
doaj   +1 more source

SPQER: Speech Quality Evaluation Using Word Recognition for VoIP Communication in Lossy and Mobile Networks

open access: yesIEEE Open Journal of the Computer Society, 2020
In this paper, we introduce SPQER (pronounced speaker), a novel approach to evaluate the quality of experience for real-time Voice over IP (VoIP) communication in mobile and lossy networks.
Bertram Schuetz, Nils Aschenbruck
doaj   +1 more source

A Comparative Study of Speech Coding Techniques for Electro Larynx Speech Production

open access: yesIraqi Journal of Information & Communication Technology, 2022
Speech coding is a method of earning a tight speech signals representation for efficient storage and efficient transmission over band limited wired or wireless channels.
Zinah J. Mohammed   +1 more
doaj   +1 more source

Multiple Transformer‐Based Models for Phase‐Sensitive Masking‐Based Single‐Channel Speech Enhancement

open access: yesCAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 667-680, June 2026.
ABSTRACT Leveraging both global contextual dependencies and local temporal‐spectral patterns can further enhance speech quality and intelligibility, motivating the integration of diverse neural network structures for improved mask estimation. Furthermore, due to the limitations of existing time‐frequency phase‐aware masks, a new constrained phase ...
Matin Pashaian, Sanaz Seyedin
wiley   +1 more source

Construction of Noise Reduction and Sound Quality Optimization Model for Music Transmission Signals Based on Deep Learning

open access: yesEngineering Reports, Volume 8, Issue 5, May 2026.
The study collects typical music samples and multiple types of noise data, preprocesses the signals using time‐frequency domain feature extraction methods, and on this basis designs a deep neural network structure that integrates convolutional neural networks and perception optimization mechanisms.
Chao Jiang, Junfang Liang
wiley   +1 more source

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