Open akshat9425 opened 5 years ago
I used it that was perfect but will you help me by answering that how could i integrate it for login and registration with voice
Hey @akshat9425. Sorry for the late reply. I'm glad you were able to use it! I must add some documentation I suppose. I didn't expect anyone to actually reach here!
About the login part. Maybe an approach can be to pickle (allows you to save trained models) the GMM into a location and store that path along with user details in your user table. I'm not sure about the UBM though. What I had done was trained the UBM on all the data that I had. For this approach, you'd need some sort of UBM as well, which also I recommend you pickle and store as a file.
My approach, if i remember correctly, was to build a confusion matrix and then pick the column with the highest match. You can probably just extract MFCC from test voice and then run it through all the GMM-UBM and select the one with highest matches.
Let me know if you need any more information.
@dominoanty i did some changes in code i.e test the voice that is not present in dataset and i want result that its not present but it actually gives output
For speaker /home/user/new_virtual_env/demo_check/data/english1.wav, best guess is english5.wav
Here is the code i edited
print("For speaker {}, best guess is {}".format("/home/user/new_virtual_env/demo_check/data/english1.wav", SPEAKERS[best_guess]))
please tell me where i was missing
You can probably do some kind of thresholding such that if that the match is not "enough" of a match, then identify the speaker as external.
if i follow your instruction and we are having alot of voices than in that condition its not actually possible to implement threshold just check it from your side
Hi,
i am searching to implement speaker verification will you please tell me what paths are needed to set in your project and what folders are needed to build
i was confused that why you wrote self.spk.append(wavfile.read('data/train.wav')) in main_old file
please tell me step by step that how could i run your repo
please reply thanks