Results 61 to 70 of about 3,790,103 (166)

Machine Learning for Autism Spectrum Disorder Prediction: A Review of Data Augmentation and Feature Selection Techniques

Health Care Science, Volume 5, Issue 5, Page 514-531, October 2026.
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, social interaction, and repetitive behaviors. Early diagnosis is often hindered by subjective clinical assessments and limited data availability.
Sahar Alkhaibari, Feng Dong
wiley   +1 more source

Neonatal Pathology Classification From Infant Cry Signals Using a Multi-Branch Graph Neural Network

IEEE Access
Even today, the precise and noninvasive identification of neonatal diseases from infant cry signals remains challenging due to the nonstationary and acoustic heterogeneity of cry patterns.
Layth Herzallah, Mahmoud Hantash, Ahmad Hasasneh, Sari Masri, Chakib Tadj   +4 more
doaj   +1 more source

High Security and Capacity of Image Steganography for Hiding Human Speech Based on Spatial and Cepstral Domains

ARO-The Scientific Journal of Koya University, 2020
A new technique of hiding a speech signal clip inside a digital color image is proposed in this paper to improve steganography security and loading capacity.
Yazen A. Khaleel
doaj   +1 more source

Artificial Intelligence in Voice Disorders: Current Landscape, Emerging Applications and Future Directions

World Journal of Otorhinolaryngology - Head and Neck Surgery, Volume 12, Issue 5, Page 523-531, October 2026.
ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley   +1 more source

Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition

Advanced Intelligent Systems, Volume 8, Issue 9, September 2026.
A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki, Shusuke Yamakoshi, Reitaro Yoshida, Yutaka Isoda, Tamami Takano, Yuji Isano, Yusuke Miyake, Kentaro Kuribayashi, Hiroki Ota   +8 more
wiley   +1 more source

Cepstral Coefficients Effectiveness for Gunshot Classifying [PDF]

This paper analyses the efficiency of various frequency cepstral coefficients (fCC) in a non-speech application, specifically in classifying acoustic impulse events - gunshots. There are various methods for such event identification available.
Holub J., Svatoš J.
core   +1 more source

Automatic Detection of Laryngeal Pathology on Sustained Vowels Using Short-Term Cepstral Parameters: Analysis of Performance and Theoretical Justification [PDF]

, 2008
The majority of speech signal analysis procedures for automatic detection of laryngeal pathologies mainly rely on parameters extracted from time domain processing.
Juan Ignacio Godino-Llorente, Víctor Osma-Ruiz, Sáenz Lechón, Nicolas, Fraile Muñoz, Rubén, Nicolás Sáenz-Lechón, Gómez Vilda, Pedro, Pedro Gómez-Vilda, Godino Llorente, Juan Ignacio, Rubén Fraile, Osma Ruiz, Víctor   +9 more
core   +1 more source

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +1 more source

Machine learning‐assisted vibrational detection and classification of drywood termite infestations

Approaches in Entomology: Methods, Philosophies, and Ethics, Volume 1, Issue 1, August‐December 2026.
Vibratory recordings combined with machine learning accurately detected drywood termite infestations within wood using a fully non‐destructive sensing approach. Models successfully classified termite presence and infestation intensity (empty, low, high density), achieving over 80% accuracy in both internal and external validation.
Lírio Cosme, Raul Narciso C. Guedes, Leonardo M. Turchen   +2 more
wiley   +1 more source

Design Patterns for the Development and Implementation of Bioacoustic Deep Learning Recognizers

Ecology and Evolution, Volume 16, Issue 8, August 2026.
This paper presents a set of design patterns for developing and integrating Convolutional Neural Network (CNN) recognizers in bioacoustic monitoring programs. Using a western toad case study, we illustrate solutions to common challenges in model development and workflow integration. These patterns provide a practical framework to improve the efficiency,
Gavin Hurd, Robin Baron, Jesse Whittington   +2 more
wiley   +1 more source