abhijeet3922 / speaker-identification-using-gmms Goto Github PK

I want to create new train files and test files. But I always get this error. "WARNING:root:frame length (1200) is greater than FFT size (512), frame will be truncated. Increase NFFT to avoid."

The audio files are 3 seconds. The times and sizes are quite small. How do I fix this error?

Thank you,

i have installed the python_speech_features but it still says that

ModuleNotFoundError: No module named 'python_speech_features'

I installed sklearn but found that inside mixture folder of sklearn no GMM file exists but there is file named gaussian_mixture so i replace below lines of code

from => from sklearn.mixture import GMM
to => from sklearn.mixture import gaussian_mixture as GMM

further I got this error: TypeError: 'module' object is not callable
please tell me what to do

Thanks in advance
waiting for your valuable reply

OSError: [Errno 2] No such file or directory: 'speaker_models/'

hi i have this after training data what can i do ?
thanks for helping

Hi! The work you have done is wonderful.
I need a little help regarding the MFCC function. While taking MFCC, I seem to get a 2D array of n rows and 20 columns. But the idea I got from your blog was that I would be receiving a 1D array of size 20. Could you help?

it has such a problem now：cPickle.dump(gmm,open(dest + picklefile,'w'))
IOError: [Errno 2] No such file or directory: 'speaker_models\anthonyschaller.gmm'，can yoy help me solve it? thanks

I used link: https://github.com/abhijeet3922/Speaker-identification-using-GMMs

it works well for speaker identification but while verification the voice not present in dataset is predicted as any other random voice from dataset how do i predict those voices to eliminate i need to integrate this for login and registration with voice

please reply
thanks

extract_feature( ) produces a matrix of vectors of dimensions 399 by 40. As I understand, 40 is the 20 MFCC+ 20 Delta MFCC features of a single speaker file. Could you say what is contained in the 399 dimension?

Could you let me know why .gmm extension used in this project? why not other extensions?

Hello, the specified database link cannot be accessed, but the blog and other links in it can be accessed. Can you resend a link or package it on GitHub? thank you