Block diagram for Librosa MFCC implementation

[Good Robot]

Hello,

I would like to know if this block diagram correctly describes the Librosa MFCC implementation in Python:

librosa.feature.mfcc(y=None, sr=22050, S=None, n_mfcc=20, dct_type=2, norm='ortho', lifter=0, **kwargs)

Taken from the paper, "Pashto Spoken Digits Recognition Using Spectral and Prosodic Based Feature Extraction, by Shibli Nisar et. al".

[Vincent Lostanlen]

Hello Good Robot !

It look correct to me. Small but important nitpick is that the FFT is followed by an operation of complex modulus. This operation does not appear in the diagram.

Remember to apply pre-emphasis 

https://librosa.org/doc/main/generated/librosa.effects.preemphasis.html

 You can find more documentation here

https://librosa.org/doc/main/generated/librosa.feature.mfcc.html

I hope this helps!

Vincent

 

On 26 Jan 2022, at 11:29, 'Good Robot' via librosa <lib...@googlegroups.com> wrote:

Hello,

I would like to know if this block diagram correctly describes the Librosa MFCC implementation in Python:

librosa.feature.mfcc(y=None, sr=22050, S=None, n_mfcc=20, dct_type=2, norm='ortho', lifter=0, **kwargs)

<2022-01-26_5-23-52.jpg>

Taken from the paper, "Pashto Spoken Digits Recognition Using Spectral and Prosodic Based Feature Extraction, by Shibli Nisar et. al".

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<2022-01-26_5-23-52.jpg>

[Good Robot]

Thank you for your response!

Does this graphic satisfy the block that I missed and now fully explains the Librosa MFCC process?

Sincerely,

Rajesh.

On Wed, Jan 26, 2022 at 7:11 AM Vincent Lostanlen <vl1...@nyu.edu> wrote:

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