Results 41 to 50 of about 3,698 (171)

On Losses, Pauses, Jumps, and the Wideband E-Model

IEEE Access, 2017
There is an increasing interest in upgrading the E-Model, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The main motivation behind this has been to quantify the quality gain lent by various new codecs and ...
Muhammad Adil Raja, Anna Jagodzinska, Vincent Barriac   +2 more
doaj   +1 more source

Applications of Artificial Intelligence in Neurological Voice Disorders

World Journal of Otorhinolaryngology - Head and Neck Surgery, Volume 11, Issue 4, Page 491-517, December 2025.
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao, Aki Koivu, Kristina Simonyan   +2 more
wiley   +1 more source

Mental Health and Parenting Practices and Styles Among Parents Receiving Child Welfare Services in Norway: A Cross‐Sectional Study

Child &Family Social Work, Volume 30, Issue 4, Page 894-904, November 2025.
ABSTRACT Interventions to enhance positive parenting practices have become a cornerstone of many Western child welfare services. Parental mental health is a crucial factor that influences parenting practices and styles. However, research on the associations between mental health and parenting among parents involved with child welfare services is scarce.
Jannike Kaasbøll, Mari N. Berg, Anita S. Storhaug   +2 more
wiley   +1 more source

Lightweight Real-Time Recurrent Models for Speech Enhancement and Automatic Speech Recognition.

International Journal of Interactive Multimedia and Artificial Intelligence
Traditional recurrent neural networks (RNNs) encounter difficulty in capturing long-term temporal dependencies. However, lightweight recurrent models for speech enhancement are important to improve noisy speech, while being computationally efficient and
Sami Dhahbi, Nasir Saleem, Teddy Surya Gunawan, Sami Bourouis, Imad Ali, Aymen Trigui, Abeer D. Algarni   +6 more
doaj   +1 more source

Assessing Omnichannel Service Quality in the Public Sector

Public Administration, Volume 103, Issue 2, Page 581-599, June 2025.
ABSTRACT Services in the public sector are often provided as a hybrid combination of both digital (e.g., online registration) and physical (e.g., offline appointment) service channels, which can be referred to as omnichannel services. There is a lack of instruments in the literature that can measure the perceived quality of public sector omnichannel ...
Fabian Walke, Till J. Winkler
wiley   +1 more source

Quantifying the Relationship Between Speech Quality Metrics and Biometric Speaker Recognition Performance Under Acoustic Degradation

Signals
Self-supervised learning (SSL) models have achieved remarkable success in speaker verification tasks, yet their robustness to real-world audio degradation remains insufficiently characterized.
Ajan Ahmed, Masudul H. Imtiaz
doaj   +1 more source

A neural coding method based on feature sensing

IET Communications, Volume 19, Issue 1, January/December 2025.
It has been shown that human neural coding is characterized by non‐linearity and that different neurons are more responsive to stimuli with specific features. Based on this, we propose a neural coding method based on feature sensing (feature sensing neural coding; FSNC). Taking speech signals as an example to simulate the process of auditory formation,
Dongbin He, Aiqun Hu, Kaiwen Sheng
wiley   +1 more source

The PESQ improvements (PESQi) in background noises.

The PESQ improvements (PESQi) in background noises.
Amil Daraz (9667034), Zhenqing Li (733596), Atif Jan (11603979), Abdul Basit (174463)   +3 more
core   +1 more source

Multi-Task Learning U-Net for Single-Channel Speech Enhancement and Mask-Based Voice Activity Detection

Applied Sciences, 2020
In this paper, a multi-task learning U-shaped neural network (MTU-Net) is proposed and applied to single-channel speech enhancement (SE). The proposed MTU-based SE method estimates an ideal binary mask (IBM) or an ideal ratio mask (IRM) by extending the ...
Geon Woo Lee, Hong Kook Kim
doaj   +1 more source

Distributed MVDR Beamformer Based on Distributed Steering Vector Estimation in Acoustic Sensor Network

Electronics Letters, Volume 61, Issue 1, January/December 2025.
This article proposes a distributed minimum variance distortionless response (MVDR) beamformer for speech enhancement, where the network‐wide steering vector used for generating MVDR is estimated in a distributed way. This method is iteratively performed, and in each iteration, the steering matrix and the beamformer coefficient are simultaneously ...
Xingyue Cui, Rui Wang
wiley   +1 more source