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Issues for contribution

  • Feature extraction techniques from skratch LPC, MFCC, PLP for comparing the results with the already made ones.

  • Varitional Autoencoders (VAE) for finding a lower representation of the extracted features. Furthermore we can produce artificial samples using VAEs, with this procedure we can overcome the obstacle that the imbalance dataset causes.