Burmese pythons provide an integrative contamination signal across terrestrial–aquatic food webs, leveraging long lifespan, ...
Modeling Mad Classification in Holy Quran Recitation Using MFCC Extraction Feature and CNN Algorithm
Abstract: This research aims to classify mad recitation in Surah Al-Fatihah using Mel Frequency Cepstral Coefficient (MFCC) feature extraction and Convolutional Neural Network (CNN) algorithm.
Abstract: The novel hybrid CNN-XGBoost model is designed to work with the UrbanSound8K dataset and MFCCs, in which a CNN is used for temporal and spectral feature extraction from urban noise samples, ...
I have eight years of experience covering Android, with a focus on apps, features, and platform updates. I love looking at even the minute changes in apps and software updates that most people would ...
Thai speaker identification system using MFCC features with SVM, RF, KNN, GBM classifiers. Trained on podcast audio with 85.12% CV accuracy and Google STT transcription.
This New Claude Feature Can Automate Basically Everything on Your Mac, but It’s a Huge Security Risk
Khamosh Pathak is a freelance tech journalist with over 13 years of experience writing online. An accounting graduate, he turned his interest in writing and technology into a career. He holds a ...
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