MFCC (Mel-frequency cepstral coefficients)
MFCCs are a compact numeric summary of a sound's spectral shape on the mel scale — the dominant audio features of pre-deep-learning speech recognition.
MFCCs distilled each frame to a dozen-odd coefficients capturing vocal-tract character. Modern end-to-end models replaced them with learned features over mel spectrograms, but MFCCs persist across audio analysis and lightweight applications.
Related terms
Frequently asked
What is MFCC?
MFCCs are a compact numeric summary of a sound's spectral shape on the mel scale — the dominant audio features of pre-deep-learning speech recognition.
Why does MFCC matter?
MFCCs distilled each frame to a dozen-odd coefficients capturing vocal-tract character. Modern end-to-end models replaced them with learned features over mel spectrograms, but MFCCs persist across audio analysis and lightweight applications.
What terms are related to MFCC?
Closely related concepts: Mel spectrogram, Acoustic model — each has its own entry in this glossary.