speech dataset -> audio loading and preprocessing -> time-domain waveform analysis -> FFT frequency-domain analysis -> STFT spectrogram analysis -> MFCC feature extraction -> MFCC statistical features ...

Abstract: The Bagging method suffers from suboptimal accuracy due to limitations in feature extraction and complex variations in audio data. Although Bagging is known to reduce overfitting and improve ...

If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...

Abstract: This research aims to apply Mel Frequency Cepstral Coefficient (MFCC) feature extraction especially in speech recognition as well as Convolutional Neural Network (CNN) classification model ...

The proposed optical computing chip enables high-speed, parallel processing for quantitative trading with unprecedented low latency, accelerating the crucial and demanding step of feature extraction.

The iPhone 17 lineup brings a new video feature that lets you record from both the front and rear cameras simultaneously. Dual Capture creates picture-in-picture recordings that should be perfect for ...

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