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 ...
Frontiers

Convolutional Neural Network Based Real Time Arabic Speech Recognition to Arabic Braille for Hearing and Visually Impaired

Natural Language Processing (NLP) is a group of theoretically inspired computer structures for analyzing and modeling clearly going on texts at one or extra degrees of linguistic evaluation to acquire ...
GitHub

aishoot/Speech_Feature_Extraction

feature_extraction_functions.py: a set of feature extraction functions from RDShi-SpeakerCount. MFCC: Mel-frequency cepstral coefficients calculation. MFCC.py, MFCCTest.py: Compute the MFCC feature.