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jan25 avatar jan25 commented on August 27, 2024

This repo was one of our projects back in college. It uses simple supervised learning and was trained on only handful of speakers. I don't believe this repo as is can scale for your requirements where i assume you will have many more users to authenticate. However, if you job is just to differentiate valid and invalid users, you could change the output classes to 0/1, instead of one class for each user as in this repo, and retrain+fine-tune the model according to your needs.

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akshat9425 avatar akshat9425 commented on August 27, 2024

Thanks for reply for your repo you used this line : from features import mfcc
i installed features library but there is no file of mfcc present inside it
please tell me what to do

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akshat9425 avatar akshat9425 commented on August 27, 2024

I replace features from python_speech_features and issue is resolved to extract mfcc but will you please please send me a sample command to run python main.py

i am using this command
python main.py -train /home/user/invalid/Speaker-Recognition/train_data/ -test /home/user/invalid/Speaker-Recognition/test_data/ -recog /home/user/invalid/Speaker-Recognition/recog_speaker/

and getting this issue
ValueError: invalid literal for int() with base 10: '-test'

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gitrohini avatar gitrohini commented on August 27, 2024

I also getting same problem but then I try this
python main.py -train /home/user/18_10/spkerRecog3/Speaker-Recognition/train_data/
it works

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