Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on MFCC, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Frontiers

Noninvasive prescreening of pediatric adenoid hypertrophy using quantified MFCC statistics and clinical features: development and external validation

In a dual-center cross-sectional study (N = 202), Center 1 (Capital Center for Children’s Health, Capital Medical University, n = 161) served as the development cohort and Center 2 (College of ...
GitHub

HTK features in Python

HTK is a respected toolkit used mainly by the speech community to perform research in speech recognition. Although quite old, many newer systems emulate the same feature extraction pipeline as used in ...
IEEE

Evaluation of Computational Cost and Result Accuracy in Design and Efficient Implementation of Log-Mel Spectrogram and MFCC Feature Extraction Using Fixed-Point Arithmetic on FPGA

Abstract: Mel-frequency cepstral coefficients (MFCCs) are essential features in audio processing, aligning with human auditory perception and are used in applications such as speech recognition, ...
C&EN

Protein–Ligand Interaction Energies from Quantum-Chemical Fragmentation Methods: Upgrading the MFCC-Scheme with Many-Body Contributions

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
C&EN

DFT-Based Permutationally Invariant Polynomial Potentials Capture the Twists and Turns of C 14 H 30

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Hydrocarbons are ubiquitous as fuels, solvents, lubricants, and as the principal ...
Frontiers

Enhanced classification and severity prediction of major depressive disorder using acoustic features and machine learning

Previous studies have classified major depression and healthy control groups based on vocal acoustic features, but the classification accuracy needs to be improved. Therefore, this study utilized deep ...
IEEE

On-Device MFCC-CNN Voice Recognition System with ESP-32 and Web-Based Application

Abstract: The ever-increasing need for intelligence applications capable of assisting human daily life has become a critical topic in current human everyday life. As the primary communication source, ...