Results 51 to 60 of about 3,612,587 (208)

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

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
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

A Comparative Investigation of Cepstral Feature Extraction Methods for Deepfake Speech Detection

Applied Sciences
The widespread adoption of voice-based authentication systems has been accompanied by an escalating threat from deep learning-based synthetic speech generation techniques.
Nida Akıncı, Erdal Özbay
doaj   +1 more source

Hybridisation of Mel Frequency Cepstral Coefficient and Higher Order Spectral Features for Musical Instruments Classification

Archives of Acoustics, 2016
This paper presents the classification of musical instruments using Mel Frequency Cepstral Coefficients (MFCC) and Higher Order Spectral features. MFCC, cepstral, temporal, spectral, and timbral features have been widely used in the task of musical ...
Daulappa Guranna BHALKE, C. B. RAMA RAO, Dattatraya BORMANE   +2 more
doaj   +1 more source

Automatic Speech Segmentation Using Hybrid Wavelet Features and HMM [PDF]

The Egyptian Journal of Language Engineering, 2016
In this research, a novel feature set is used to automatically segment speech signal. Automatic segmentation is veryuseful especially for large database.
Amr Gody, Manal Shabaan, Amr Saleh
doaj   +1 more source

PERBANDINGAN STEGANALISIS SINYAL WICARA BERFORMAT .WAV ANTARA METODE ANALISIS CEPSTRAL DAN MEL-FREQUENCY CEPSTRAL COEFFICIENT (MFCC)

TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika, 2019
Teknik menyembunyikan pesan rahasia ke dalam suatu data tertentu atau yang biasa dikenal dengan steganografi mengalami perkembangan yang sangat pesat. Namun, ternyata metode penyembunyian pesan ini juga menimbulkan masalah, di antaranya pihak-pihak yang tidak bertanggung jawab menggunakan teknik tersebut untuk kegiatan kriminalitas.
Nur Andini, Bambang Hidayat, Kevin Putra Dirgantoro   +2 more
openaire   +2 more sources

Development of Classification Methods for Wheeze and Crackle Using Mel Frequency Cepstral Coefficient (MFCC): A Deep Learning Approach

International Journal on Perceptive and Cognitive Computing, 2020
The most common method used by physicians and pulmonologists to evaluate the state of the lung is by listening to the acoustics of the patient's breathing by a stethoscope. Misdiagnosis and eventually, mistreatment are rampant if auscultation is not done properly.
Tinir Mohamed Sadi, Raini Hassan
openaire   +2 more sources

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

Classification of COVID-19 Cough Sounds using Mel Frequency Cepstral Coefficient (MFCC) Feature Extraction and Support Vector Machine

Telematika, 2023
A lot of research has been carried out to detect COVID-19, such as swabs, rapid antigens, and using x-ray images. However, this method has the disadvantage that it requires taking samples through physical contact with the patient. One way to avoid physical contact is to use audio through coughing with the aim of reducing the transmission of COVID-19 ...
Muhammad Meftah Mafazy, Mohammad Reza Faisal, Dwi Kartini, Fatma Indriani, Triando Hamonangan Saragih   +4 more
openaire   +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