Extract mfcc, log energy, delta, and delta-delta of audio signal

sets each property `coeffs`

= mfcc(___,`Name,Value`

)`Name`

to the specified
`Value`

. Unspecified properties have default values..

`[coeffs] = mfcc(audioIn,fs,'LogEnergy','Replace')`

returns mel frequency cepstral coefficients for the audio input signal sampled at
`fs`

Hz. The first coefficient in the `coeffs`

vector is replaced with the log energy value.`[`

returns the delta, delta-delta, and location of samples corresponding to each window
of data.`coeffs`

,`delta`

,`deltaDelta`

,`loc`

] = mfcc(___)

The `mfcc`

function splits the entire data into overlapping
segments. The length of each rolloff segment is determined by the
`'WindowLength'`

argument. The length of overlap between segments
is determined by the `'OverlapLength'`

argument.

The function computes the mel frequency cepstral coefficients, log energy values,
cepstral delta, and the cepstral delta-delta values for each segment as per the
algorithm described in `cepstralFeatureExtractor`

.

[1] Rabiner, Lawrence R., and
Ronald W. Schafer. *Theory and Applications of Digital Speech
Processing*. Upper Saddle River, NJ: Pearson, 2010.

[2] Auditory Toolbox. https://engineering.purdue.edu/~malcolm/interval/1998-010/AuditoryToolboxTechReport.pdf

Cepstral Feature
Extractor | Voice Activity
Detector | `audioFeatureExtractor`

| `cepstralFeatureExtractor`

| `pitch`

| `voiceActivityDetector`