Results 31 to 40 of about 167,964,167 (121)

Measuring Speech Quality of Laptop Microphone System using PESQ

, 2012
Signal compression algorithms are required in speech processing system to support the limited bandwidth requirements. And while compressing the signal, speech quality must not be degraded and modern speech methods makes use of perceptual information ...
Lingapuram, Praveen
core   +2 more sources

Improved Speech Spatial Covariance Matrix Estimation for Online Multi-Microphone Speech Enhancement

Sensors, 2022
Online multi-microphone speech enhancement aims to extract target speech from multiple noisy inputs by exploiting the spatial information as well as the spectro-temporal characteristics with low latency.
Minseung Kim, Sein Cheong, Hyungchan Song, Jong Won Shin   +3 more
doaj   +1 more source

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

Engineering 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

94 GHz Asymmetric Antenna Radar for Speech Signal Detection and Enhancement via Variational Mode Decomposition and Improved Threshold Strategy

IEEE Access, 2022
To further improve the detection distance and sensitivity of bio-radar, a 94 GHz asymmetric antenna radar sensor is employed to detect speech signal. However, the radar speech is often mixed with various noise, which will seriously affect the quality and
Fuming Chen, Jianqi Wang, Chuantao Li
doaj   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, Volume 8, Issue 2, February 2026.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source

Linear predictive perceptual filtering for acoustic vector sensors: Exploiting directional recordings for high quality speech enhancement

, 2011
This paper investigates the performance of a new technique for speech enhancement which combines Linear Predictive (LP) spectrum-based perceptual filtering to the recordings obtained from an Acoustic Vector Sensor (AVS).
I. S. Burnett, C. H. Ritz, Burnett, IS, M. Shujau, Shujau, M, Ritz, CH   +5 more
core   +2 more sources

Incoherent Discriminative Dictionary Learning for Speech Enhancement

Journal of Telecommunications and Information Technology, 2018
Speech enhancement is one of the many challenging tasks in signal processing, especially in the case of nonstationary speech-like noise. In this paper a new incoherent discriminative dictionary learning algorithm is proposed to model both speech and ...
Dima Shaheen, Oumayma Al Dakkak , Mohiedin Wainakh   +2 more
doaj   +1 more source

Sophisticated Audio Source Separation: A Statistical Exploration of Clarity and Precision With FastICA

Engineering Reports, Volume 8, Issue 1, January 2026.
This workflow presents a complete pipeline for audio data processing, beginning with format conversion, channel adjustments, and cleaning, followed by enhancement and visualization techniques. It further applies signal separation using FastICA, postprocessing, and evaluation metrics (SDR, SIR, SAR) to improve audio analysis and support future research ...
Md. Razu Ahmed, Jannatul Mauya, Md. Shamim Reza, Ruhul Amin   +3 more
wiley   +1 more source

A Dual-Stage Perceptual-Harmonic Hybrid Estimator for Speech Enhancement

Journal of Engineering
This paper proposes a hybrid speech enhancement estimator that integrates the Perceptually-motivated Karhunen–Loève Transform (PKLT) with the Dual-Masking Harmonic-based (DMH) algorithm in a unified framework termed PKDMH.
Sally Taha Yousif , Basheera M. Mahmmod
doaj   +1 more source

Bi‐DecoNet: Compact Dual‐Decoder Network for Robust Speech Enhancement Under Industrial Noise

Electronics Letters, Volume 62, Issue 1, January/December 2026.
Bi‐DecoNet is a compact dual‐decoder fusion network for robust speech enhancement under industrial noise. It integrates masking and spectral mapping with a lightweight time‐frequency adaptive transformer, a dilated DenseNet, and an attentional feature fusion module to effectively enhance noisy speech. Experiments on VoiceBank+DEMAND and TIMIT show that
Zhongchao Guan, Ying Gao, Xinyu Guo, Shifeng Ou   +3 more
wiley   +1 more source