Comments (8)
Hey @MITESHPUTHRANNEU, I have the same problem as nicolov but it can't be a different number of features, otherwise your model wouldn't work at inference time. It must be something different during training and/or different data.
My first bet is different data, as downloading the data from the link you provided I get ~900 samples in the training set whereas from your notebook I see you had ~1300. Can you double-check that all the data you used is the one available from these links?
from speech-emotion-analyzer.
Same here. I noticed that the network on the notebook is different from the model you've saved. Even using the same network, the performances are way worse than the ones you achieved using the same code. Maybe you had some clever training trick?
from speech-emotion-analyzer.
Hello @nicolov and @gianlucahmd. I wish I had some magic tricks go increase the accuracy. There is only one thing that comes to my mind right now, which is try to augment the data that you have available and try to retrain the model.
from speech-emotion-analyzer.
Did you perform data augmentation yourself? Maybe that's the problem: I just downloaded the data from the links but end up having ~900 samples in the training set whereas you had ~1300.
Thanks for getting back to me!
from speech-emotion-analyzer.
I wish I had some magic tricks go increase the accuracy.
Sure, I was just wondering how you got to the accuracy in the pretrained model that's in repo, as I can't seem to reproduce its accuracy using your training code.
from speech-emotion-analyzer.
Can someone pls tell how you have organized data in the folder.have you created any subfolders
from speech-emotion-analyzer.
@nicolov I used the same code as what you see in the notebook. Try using different sampling rates while extracting the features. Maybe more features would help to increase the accuracy.
@srhoit59 I put all the audio files in one folder.
from speech-emotion-analyzer.
Hi @gianlucahmd, yes if you change the sampling rate then you can't use my model. I have used used the data from the described sources. They may have changed the audio files as I had done this project in 2017.
Unfortunately I don't have the data that I had used during training anymore.
from speech-emotion-analyzer.
Related Issues (20)
- Error on JupiterLab HOT 2
- getting RawData missing Error HOT 7
- getting an error in this state Getting the features of audio files using librosa
- ValueError: Incomplete wav chunk
- Inference code? HOT 2
- AttributeError:'list' object has no attribute'items'
- ValueError: Shapes (None, 4) and (None, 10) are incompatible HOT 2
- ERRROR : 'feeling_list' is not defined
- Libra Not working?
- Can you share the paper you published with reference to this project
- data
- requirements.txt HOT 2
- Mfcc
- wrong extraction of features HOT 1
- Please Share the Data
- Dataset HOT 3
- list index out of range
- ValueError: Shapes (None, 11) and (None, 10) are incompatible HOT 1
- dataset HOT 5
- Raw Data HOT 3
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