- Nov 25, 2014
-
-
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:
Amit Beka <amit.beka@gmail.com>
-
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:
Amit Beka <amit.beka@gmail.com>
-
- Nov 23, 2014
-
-
tanel authored
Fix for adaptation state being get_property() is called soon after initialization (https://github.com/alumae/gst-kaldi-nnet2-online/issues/1)
-
- Nov 11, 2014
- Nov 08, 2014
-
-
tanel authored
-
- Nov 07, 2014
-
-
tanel authored
-
- Nov 06, 2014
- Sep 30, 2014
-
-
tanel authored
-
- Sep 24, 2014
- Sep 22, 2014
- Sep 10, 2014
- Sep 08, 2014
-
-
tanel authored
-
- Sep 05, 2014
-
-
tanel authored
-
- Sep 03, 2014