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 ...
IEEE

Feature extraction of some Quranic recitation using Mel-Frequency Cepstral Coeficients (MFCC)

Abstract: This report describes the work done for training and testing Arabic speech recognition system using the KALDI toolkit. Each person's voice is different. Thus, the Holy Quran sound, which had ...
GitHub

novoic/surfboard: Novoic's audio feature extraction library

For information about contributing, citing, licensing (including commercial licensing) and getting in touch, please see our wiki. Our documentation can be found here. Our paper can be found here.
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

MSP-MFCC: Energy-Efficient MFCC Feature Extraction Method With Mixed-Signal Processing Architecture for Wearable Speech Recognition Applications

Abstract: Feature extraction is an essential part of automatic speech recognition (ASR) to compress raw speech data and enhance features, where conventional implementation methods based on the digital ...
Scientific Research Publishing

Chen, S.-H. and Luo, Y.-R. (2009) Speaker Verification Using MFCC and Support Vector Machine. Proceedings of the International Multi-Conference of Engineers and Computer ...

ABSTRACT: An algorithm involving Mel-Frequency Cepstral Coefficients (MFCCs) is provided to perform signal feature extraction for the task of speaker accent recognition. Then different classifiers are ...