What's the correct graphical interpretation of a series of MFCC …
I'm studying speech-recognition, in particular the use of MFCC for feature extraction. All examples I've found online tend to graph a series of MFCC extracted from a particular utterance as follows (
MFCC calculation - Signal Processing Stack Exchange
Where is the my mistake in calculation? Cheers! Celdor EDIT: I understand now why the first MFCC coeficient is very low. If I look at DCT II, its first component is just a straight line: This is …
How do I interpret the DCT step in the MFCC extraction process?
30 In most audio processing tasks, one of the most used transformations is MFCC (Mel-frequency cepstral coefficients). I mostly know the math that's behind the MFCC: I understand both the …
MFCC - Significance of number of features - Signal Processing …
Feb 17, 2016 · I have been doing some readings on the computation of Mel-Frequency Cepstral Coefficients (MFCC) and further use of Vector Quantizers (VQ) for recognition purposes. I am …
how important is the pre-emphasis stage in MFCC?
I wrote a simple MFCC routine, using all the steps usually suggested in the literature with the exception of the pre-emphasis stage. How important is this stage? Also, some authors suggest …
Help calculating / understanding the MFCCs: Mel-Frequency …
Explore related questions discrete-signals signal-analysis mfcc See similar questions with these tags.
human speech noise filter - Signal Processing Stack Exchange
Does anyone know of a filter to attenuate non-speech? I am writing speech recognition software and would like to filter out everything but human speech. This would include background …
Spectral Envelope from MFCC - Signal Processing Stack Exchange
The MFCC coefficients themselves are not supposed to "look" like the spectral envelope when plotted. After all the spectral envelope is a "big" vector (as long as the size of an analysis …
discrete signals - Confusion with regards to STFT and MFCCs
K$ sub-bands, (rows). MFCC: Once you have the STFT computed, you can go ahead and use that as a stepping stone for computing the MFCC's. Regarding your question, you seem to be …
Comparing MFCC Features ,What do they represent?
2 I know that MFCC features are the spectral envelope of the input signal but I can't understand what do they mean and what do they represent . and if I have two people saying the same …