MFCC: Mel-Frequency Cepstrum Coefficients (MFCC) feature extractor

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dc.contributor.authorEmery, Stéphane
dc.date.accessioned2026-02-26T15:47:13Z
dc.date.available2026-02-26T15:47:13Z
dc.date.issued2026
dc.description.abstractThe 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.
dc.identifier.citationMel-Frequency Cepstrum Coefficients (MFCC) feature extractor, ASICS for Edge, EMERY Stéphane
dc.identifier.urihttps://hdl.handle.net/20.500.12839/1997
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleMFCC: Mel-Frequency Cepstrum Coefficients (MFCC) feature extractor
dc.typeTechnical Factsheet
dc.type.csemdivisionsBU-M
dc.type.csemresearchareasASICs for the Edge
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