MFCC: Mel-Frequency Cepstrum Coefficients (MFCC) feature extractor
Abstract
The Mel-Frequency Cepstrum Coefficients (MFCC) core block is designed to extract features from voice signals with high efficiency. This technology is ideal for applications such as keyword spotting, speaker identification, and voice activity detection. This white paper provides a comprehensive overview of the MFCC core block architecture, specifications, and integration guidelines.
Publication Reference
Mel-Frequency Cepstrum Coefficients (MFCC) feature extractor, ASICS for Edge, EMERY Stéphane
Year
2026