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  1. Nov 25, 2014
    • Amit Beka's avatar
      add LM scaling property · c693149c
      Amit Beka authored
      
      LM scaling is intended to control the ratio between the LM strength and
      the acoustic model strength *after* decoding, when the best path in the
      lattice is generated.
      Setting this to a value higher than 1.0 (default) makes the LM more
      prominent in the lattice path weighting, so the best path may be more
      aligned with the LM, and not with the acoustic model.
      
      Signed-off-by: default avatarAmit Beka <amit.beka@gmail.com>
      c693149c
    • Amit Beka's avatar
      add inverse-scale property · e78a5086
      Amit Beka authored
      
      When decoding the input, the output lattice is scaled using the acoustic
      scale parameter. When 'inverse-scale' is set to TRUE, the lattice is
      re-scaled back (inverse the acoustic scale) before the hypothesis is
      extracted.
      
      This behavior is common when playing with different scales after the
      decoding phase.
      
      Signed-off-by: default avatarAmit Beka <amit.beka@gmail.com>
      e78a5086
  2. Nov 23, 2014
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