Comments (1)
You will have to build your own datasets for training SVM models. Depending on your goal, there are some annotated audio collections for some classification tasks. Once you have an audio collection, you can analyze it using Essentia music extractor and then train your own model.
If you are working with music, another option is to create your dataset and train model using AcousticBrainz (no programming required).
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Related Issues (20)
- Use Argparse everywhere
- QT5.11 / C++11 changes HOT 2
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- Unit tests return ERROR or FAIL HOT 2
- Upgrade python features when switching to python 3
- warnings
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- pre-compiled Win Version does not support Genre and Mood Descriptors HOT 1
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- Memory leaks in dataset training HOT 1
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