Results 71 to 80 of about 4,142,577 (212)

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

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods.
Sergio A. Falcón-López, Llanos Tobarra, Antonio Robles-Gómez, Rafael Pastor Vargas   +3 more
openaire   +2 more sources

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, Volume 12, Issue 19, 12 October 2026.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

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

Human biomarker navigator

iMeta, Volume 5, Issue 5, October 2026.
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li, Qian Zhang, Zijie Wang, Zeping Gui, Jing Liu, Jingda Li, Maojun Jiang, Zukang Chang, Qingqing Han, Bendong Yang, Tariq Saeed, Jun Li, Jinghan Jia, Chenghu Song, Tong Shao, Tianhuan Peng, Xueying Zhang, Pingping Guo, Jun Luo, Gangao Yang, Yuan Wan, Gokhan Zengin, Quan Yuan, Lingru Li, Xiaohui Fan, Yang Luo, Lvyun Zhu, Yanfei Zheng, Wenjun Mao, Wenlong Sun   +29 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

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

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

Electrostatic Gaussian Transistor for Real‐Time Probabilistic Inference

Advanced Materials, Volume 38, Issue 52, 16 September 2026.
This work engineered SC‐GMT that directly emulates Gaussian distributions in analog hardware, enabling real‐time deepfake voice detection and transformer measurement‐grounded architecture proposal for LLM attention‐score computation on edge devices without digital overhead. ABSTRACT Gaussian distribution functions underpin a wide range of probabilistic
Youngmin Han, Youngwoo Yoo, Minseo Kim, Dinithi Jayasuriya, Nethmi Jayasinghe, Akshay Subramanian, Deep Jariwala, Chang‐Hyun Kim, Amit Ranjan Trivedi, Young‐Joon Kim, Hocheon Yoo   +10 more
wiley   +1 more source