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The Accuracy Percentage for the current testing Performance with MFCC + GMM is : 0.0 % #27

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GauriDhande opened this issue Oct 26, 2020 · 2 comments

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@GauriDhande
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Thank you for such great work!

Every time I try testing the audio, it gives the result, "The Accuracy Percentage for the current testing Performance with MFCC + GMM is: 0.0 %" (Both for the test data and train data also). Also, I tried with only one speaker, i.e created 221.gmm only by training the audios. And while testing, if I give different speaker audio wav files as test data, then also, it will detect the same speaker. I am I doing something wrong?

Please help. Thanks in advance.

@Atul-Anand-Jha
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Yes, You must be doing something wrong. Bcs this project had pretty much high accuracy ranging 97 to 100 % on the two datasets that i mentioned. You need to check/debug your code, if you have modified it as per your project needs.

please, go through the Readme file and documentation thoroughly. There could be some minute mistake while you modified it.

And, thanks for trying the project and your compliments.

@parvatijay2901
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@GauriDhande @Atul-Anand-Jha Probably she is getting Accuracy as 0 because error is also getting counted in each iteration.
Check these lines and make sure the names are same:
checker_name = path.split("_")[0]
if speakers[winner] != checker_name:
error = error + 1

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