Results 51 to 60 of about 3,875,284 (170)

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

Discriminative Training Using Noise Robust Integrated Features and Refined HMM Modeling

Journal of Intelligent Systems, 2018
The classical approach to build an automatic speech recognition (ASR) system uses different feature extraction methods at the front end and various parameter classification techniques at the back end.
Dua Mohit, Aggarwal Rajesh Kumar, Biswas Mantosh   +2 more
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

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

MEL frequency cepstral coefficients (MFCC) of original speakers and their imitators

Archives of Acoustics, 2014
The results of intra- and interspeaker distances between MFCC vectors obtained from speech samples of eight well-known Polish personalities and their imitations performed by cabaret entertainers are presented and discussed.
W. Majewski
doaj  

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

PEMODELAN SPEECH RECOGNITION SPEECH-TO-TEXT DALAM BAHASA INDONESIA MENGGUNAKAN MEL FREQUENCY CEPSTRAL COEFFICIENTS (MFCC) DAN HIDDEN MARKOV MODEL (HMM) Speech Recognition Modeling Speech-to-Text in Bahasa Using Mel Frequency Cepstral Coefficients (MFCC) a [PDF]

, 2013
ABSTRAKSI: Speech recognition merupakan salah satu teknologi yang mempermudah pekerjaan manusia dalam berinteraksi dengan komputer. Oleh karena itu, penelitian mengenai speech recognition merupakan kunci pengembangan teknologi tersebut.
SITI KHODIJAH F N F
core  

Comparison of Selected Classification Methods in Automatic Speaker Identification

Communications, 2011
This paper presents performance comparison of three different classifiers applied in Automatic SpeakeR Identification: Gaussian Mixture Model (GMM), k Nearest Neighbor algorithm (kNN) and Support Vector Machines (SVM).
Martin Hric, Michal Chmulík, Roman Jarina   +2 more
doaj   +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