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 ...

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 ...

Abstract: Mel frequency cepstral coefficient (MFCC) is a popular feature extraction method for a speech recognition system. However, this method is susceptible to noise even though it generates a high ...

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 ...

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 ...

procedures from Librosa library (https://github.com/librosa/librosa) for mfcc embeddings calculation of sound files for Raspberry Pi 64bit OS ...

See the complete documentation at https://docs.cognitive-ml.fr/shennong. See the detailed installation procedure here. On Linux, simply have a: conda install -c coml ...

Abstract: Feature extraction of electrocardiogram (ECG) signal is one of the essential steps to diagnose various cardiovascular disease (CVD). The signal is generated by the hearts electrical activity ...