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@MisaOgura
Last active March 21, 2019 13:36
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Things we can try with GMM (suggested during a conversation with Jana)

  • Increase the training iteration to few hundreds

    • Possible stopping criteria: min variance (keep an eye out for collapsing variance)
  • Increase the number of Gaussian curves within each model

    • Currently init 32, diag 30 and full 20
    • Try init 258, diag 128 and full 64?
  • Increase the size of MFCC

  • Delta is useful, Delta-Delta not so much

  • Try Viterbi decoding for more intelligent decision smoothing?

  • Change window size?

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