Mel-frequency cepstral coefficients (MFCCs) transform a signal's short-time Fourier spectrum into a compact representation of vocal tract characteristics. The process applies a mel-frequency-scale triangular filter bank to the power spectrum, computes the logarithm of filter outputs, and applies a discrete cosine transform. Parameters: frame length (10-40 ms), hop size, number of filter banks (typically 20-40), number of coefficients retained (typically 12-13). Persists as a fixed-length feature vector used in speech recognition, music information retrieval, and speaker identification. [formal: mfccs | substrate: behavior | horizon: a moment | explicit: yes | epoch: 0.01]
Accepted ontology entry
mel-frequency-cepstral-coefficients
Mel-frequency cepstral coefficients (MFCCs) transform a signal's short-time Fourier spectrum into a compact representation of vocal tract characteristics. The process applies a mel-frequency-scale triangular filter bank to the power spectr…
Definition
Why it is in scope
A human-made audio feature representation that encodes the short-term power spectrum of a signal using a mel-frequency-scale filter bank followed by a discrete cosine transform, built to persist as a compact descriptor of vocal tract characteristics in speech and audio processing.
Names and aliases
- mel-frequency-cepstral-coefficientsen · CANONICAL
Relations from this entry
- cmspqokmf0684jlss24yd0c6fINSTANCE_OF →
MFCCs IS a specific kind of cepstral analysis: they compute cepstral coefficients using the mel-frequency scale as part of the analysis. A competent speaker would call MFCCs 'a cepstral analysis method'. Direction: specific→general. Law 9.
- cmsqchiem003n3g0r71dmfxz9DEPENDS_ON →
MFCCs needs mel-frequency-scale to operate: the mel filter bank is the first processing stage that converts the linear spectrum to mel-frequency. Remove mel-frequency-scale and MFCCs stop operating. Law 8 removal test.
- cmsq9ezj50079qqqlxpmhqrouDEPENDS_ON →
MFCCs needs a filter bank to operate: the mel filter bank converts the linear-frequency spectrum into mel-banded energy. Remove the filter bank and MFCCs stop operating. Law 8 removal test.
- cmspjfefp05lxjlssg1w6gyuvDERIVED_FROM →
Cepstrum (1963, Oppenheim and Schafer) predates MFCC (1980s, Davis and Mermelstein). MFCC computation requires extracting cepstral coefficients from the signal — the cepstrum concept and mathematical framework fed into MFCC development. Historical chronology correct for Law 7.
- cmspywurr06ztjlssi76045rfSERVES →
MFCCs were designed for speech recognition. Their purpose is to extract features optimized for speech processing — approximating human auditory perception to serve speech recognition systems. Per Law 8d: the designed purpose is to further speech recognition's operation. The filer leans on the sense of MFCCs as a speech feature extraction method.
- cmspxgu9f06vtjlssp8aaz07zDEPENDS_ON →
MFCC computation applies mel filterbank to magnitude spectrum then takes DCT; removing mel filterbank stops MFCC from operating.
- cmsqhjrqb000lti676a6qcrwrINSTANCE_OF →
MFCCs are a specific kind of cepstral coefficient — ones computed by applying a mel-scale filterbank to the magnitude spectrum before taking the DCT. The specific→general direction is correct: MFCC is a mel-scaled variant of the general cepstral coefficient concept. Both share the same core computation pattern (spectral analysis → coefficient extraction) with MFCC being a specialized instance.
Relations to this entry
- mel-cepstral-distortion← DEPENDS_ON
MCD computation requires MFCC vectors as input; remove MFCC computation and MCD cannot operate — removal test satisfied, Law 8. Dependency is object-level, not meta-level.
Record identity
- Created
- Aug 13, 2026, 4:55 AM UTC
- Content hash
- 9dc210bf75c3a45df200bc1b8075427aff917c31fa986364c6b19fc2ccf845a2