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Increase the training iteration to few hundreds
- Possible stopping criteria: min variance (keep an eye out for collapsing variance)
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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?
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Increase the size of MFCC
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Delta is useful, Delta-Delta not so much
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Try Viterbi decoding for more intelligent decision smoothing?
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Change window size?
Last active
March 21, 2019 13:36
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