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But the prediction using the saved model fails when I test it for my recorded voice. I recorded some digits using windows 10 voice recorder and converted files to 8KHz Mono WAV format.
Any help you can provide? The model predict accuratley on the recordings provided within the dataset.
My Recorded Digit 3:
Original sample rate: 22050
Librosa sample rate: 22050
Original audio file minmax range: 20 to 239
Librosa audio file minmax range: -0.84375 to 0.8671875
(40, 18)
Dataset : Jackson 1:
Original sample rate: 8000
Librosa sample rate: 22050
Original audio file minmax range: -10989 to 9277
Librosa audio file minmax range: -0.35349792 to 0.28417692
(40, 21)
The text was updated successfully, but these errors were encountered:
@mikesmales Thanks for wonderful code for sound classification.
I used your code for training a model to classify free-spoken-digit-dataset (https://github.com/Jakobovski/free-spoken-digit-dataset). The accuracy of the trained model is 96%.
But the prediction using the saved model fails when I test it for my recorded voice. I recorded some digits using windows 10 voice recorder and converted files to 8KHz Mono WAV format.
Any help you can provide? The model predict accuratley on the recordings provided within the dataset.
My Recorded Digit 3:
Original sample rate: 22050
Librosa sample rate: 22050
Original audio file min
max range: 20 to 239max range: -0.84375 to 0.8671875Librosa audio file min
(40, 18)
Dataset : Jackson 1:
Original sample rate: 8000
Librosa sample rate: 22050
Original audio file min
max range: -10989 to 9277max range: -0.35349792 to 0.28417692Librosa audio file min
(40, 21)
The text was updated successfully, but these errors were encountered: