Extracting Mfcc Features For Emotion Recognition From
Explore the essential process of extracting MFCC (Mel-Frequency Cepstral Coefficient) features, a cornerstone technique for developing effective emotion recognition systems. This method enables the detailed analysis of acoustic properties within audio signals, crucial for accurately identifying and interpreting emotional states in various applications, from human-computer interaction to sentiment analysis.