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-- KarenLivescu - 15 Dec 2005

WS06 > ResultsPage > MonoFeat1StateFA
Same as MonoFeat1State but with the following differences
  • trained on missisipi state forced alignments (runs around 5 times faster)
  • No beam for training (runs fast enough not to need a beam)
  • wider beam for testing (ckbeam 3000)

Any of these things can explain better performance over MonoFeat1StateNoAsync

WER comp lm_sc lm_pen
73.3 256 4 -4
73.5 512 9 0
76.3 128 9 0

fine grid

acc mix lm_sc lm_pen
26.9 256mixFine 6 -2
26.7 256mixFine 4 -4
26.7 256mixFine 7 -1
26.6 256mixFine 4 -2
26.3 256mixFine 6 -3
26.3 256mixFine 5 -3
26.3 256mixFine 5 -2
26.3 256mixFine 4 -3
26.0 256mixFine 5 -4
26.0 256mixFine 8 -1
25.8 256mixFine 6 -4
25.6 256mixFine 3 -5
25.5 256mixFine 5 -5
25.5 256mixFine 4 -5
25.1 256mixFine 3 -4
24.6 256mixFine 3 -3
24.5 256mixFine 4 -6
24.4 256mixFine 6 -5
24.3 256mixFine 5 -6
24.2 256mixFine 3 -2
23.6 256mixFine 6 -6
22.3 256mixFine 2 -6
21.6 256mixFine 2 -5
20.8 256mixFine 2 -4
18.6 256mixFine 2 -3
-8.0 256mixFine 3 -6
32.2 256mixFine 2 -2

ckbeam=3000

  • tuning complete lms/lmp is 6/-2, 256 gausians
  • tight training complete
  • final test WER 74.8

-- ArtKantor - 07 Aug 2006