How to extract features from speech signals using MFCC?

I am using isolated words as my input speech signals.I have a speech signal of length 1.8193sec that contains 14554 samples. I have done pre-emphasizing of the signal.I have obtained 91 frames with 160 samples per frame. Now I have to do frame overlapping and windowing.I am confused here . I don't know which window function is appropriate for my signal.Please help me to do this.

[Md Sahidullah]

Hi, For step-by-step calculation for MFCC features, you can check this paper: Md. Sahidullah, Goutam Saha, Design, analysis and experimental evaluation of block based transformation in MFCC computation for speaker recognition, Speech Communication, Volume 54, Issue 4, May 2012, Pages 543-565, ISSN 0167-6393, http://dx.doi.org/10.1016/j.specom.2011.11.004. http://www.sciencedirect.com/science/article/pii/S0167639311001622

For the selection of window for MFCC, check this paper: Sahidullah, M.; Saha, G., "A Novel Windowing Technique for Efficient Computation of MFCC for Speaker Recognition," Signal Processing Letters, IEEE , vol.20, no.2, pp.149,152, Feb. 2013 doi: 10.1109/LSP.2012.2235067

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6387265&isnumber=6380557

Hope this helps. Thanks Sahid

Answer 1

[Idris Al-ismaili]

pleas, i want code for detect baby crying i am working on intelligent cradle project

[Hamizah Mohd Ali]

Have u obtain the code to detect baby crying?

Answer 2

[Brian Hemmat]

Starting from R2018a, you can use the mfcc function in Audio Toolbox to extract mel-frequency cepstral coefficients.

Answer 3

[Ashwini P]

i want an Matlab code to extract features fro a speech which is just a word lasting for maximum of 0.2secs