Comments (7)
Hello vikash512,
The data is audio files in .wav format. The data source has been linked in the readme file.
In the second line the librosa library helps to extract data from the audio files, which is stored in as time in second and its sampling rate.
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Hi, Can you please share us the RawData/ file? as we don't see 1800 audio files when combining both the dataset you mentioned on readme
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Yes please do share the file
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The raw SAVEE dataset is seperated into 4 folders namely DC, JE, KJ, KL. What Mitesh has done here is combine them all into a single folder. Because there's a clash in the naming of the files, The audio file f10.wav for instance exist in all 4 folders. hence why the file when combine goes f10 (2).wav
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from speech-emotion-analyzer.
from speech-emotion-analyzer.
Yes correct they are all in the same folder. The for loop iterates through various if statements. It first goes through the RAVDESS file format first, then SAVEE as the last bunch.
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Related Issues (20)
- Recommendations for Replicability HOT 3
- 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 4
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