New answers tagged analysis
1
For dimensionality reduction you need features to start with. You can for example extract MFCC’s or some other low-level features such as MPEG-7 descriptors. Then you can visualise them using PCA. TBH for this task you might be better of using t-SNE or UMAP to project this high dimensional data while preserving local clusters.
Lastly, just have a look at ...
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