Results 31 to 40 of about 3,698 (171)
Speech enhancement based on hidden Markov model using sparse code shrinkage [PDF]
Journal of Artificial Intelligence and Data Mining, 2016 This paper presents a new hidden Markov model-based (HMM-based) speech enhancement framework based on the independent component analysis (ICA). We propose analytical procedures for training clean speech and noise models by the Baum re-estimation ...
E. Golrasan, H. Sameti
doaj +1 more source
A methodology for improving PESQ accuracy for Chinese speech
, 2005 Unlike English and most other European languages, Mandarin Chinese has two unique characteristics, the consonant-vowel-consonant (CVC) phonetic structure and use of tones, which may affect its intelligibility after processing by sound processing systems.
Chong, Fong Loong +5 more
core +1 more source
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
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 +3 more
wiley +1 more source
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 +3 more
wiley +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 +3 more
wiley +1 more source
Rehaussement du signal de parole voisé par filtrage adaptatif des modes intrinsèques empiriques [PDF]
, 2010 In this paper a new method for voiced speech enhancement combining the Empirical Mode Decomposition (EMD) and the Adaptive Center Weighted Average (ACWA) filter is introduced.
TURKI, Monia +2 more
core +1 more source
Electronics Letters, Volume 62, Issue 1, January/December 2026.Acoustic echo cancellation (AEC) in actual communication systems is challenging due to highly correlated inputs, impulsive disturbances, and computational limitations. The traditional Affine Projection Algorithm (APA) is better than the Normalised Least Mean Square method, although it involves matrix inversion complexity and is susceptible to outliers (
Gagandeep Singh +5 more
wiley +1 more source
DeepSC‐S‐MECA: A Hybrid Mamba‐ECA Framework for Robust Semantic Speech Communication
Electronics Letters, Volume 62, Issue 1, January/December 2026.This paper proposes DeepSC‐S‐MECA, a semantic communication model that integrates a Mamba Transformer and ECA‐ResNet to effectively capture temporal–contextual dependencies and emphasize informative speech features while maintaining low computational complexity.
Yerin Yeo, Junghyun Kim
wiley +1 more source
A Novel Switched Algorithm for Adaptive Feedback Control in Hearing Aids
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.Acoustic feedback remains a significant challenge in open‐fitting digital hearing aids, as it severely degrades signal quality and restricts the maximum achievable stable gain. Adaptive feedback control (AFC) is widely adopted to mitigate this issue; however, its performance is often compromised by bias in the feedback path estimation, particularly due
Linh T. T. Tran, Felix Albu, Andrea Tani
wiley +1 more source