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 ...

MFCC feature extraction with librosa Multiple model architectures (CNN, LSTM, CNN-LSTM hybrid) Support for datasets: RAVDESS, TESS, EMO-DB Real-time emotion prediction ...

Abstract: In the field of speech-based emotion recognition, Mel-Frequency Cepstral Coefficients (MFCCs) are widely used as representative acoustic features. Recent approaches have transformed MFCCs ...

Every week, Kristopher Pollard from Milwaukee Film and Radio Milwaukee’s Dori Zori talk about movies — because that’s what you do when you’re Cinebuds. We’ve got a real value-for-your-money episode ...

A research team from Tsinghua University has developed an optical computing system that dramatically reduces latency in feature extraction - one of the most critical stages in real-time data ...

This is general info. Click here for the complete wiki and here for a more generic intro to audio data handling ...

Abstract: The Mel-Frequency Cepstral Coefficients (MFCC) feature extraction method is a leading approach for speech feature extraction and current research aims to identify performance enhancements.