I would like to get the confidence score of the nbest hypothesis set.
Using the Java interface through SWIG, Hypothesis.getProb() returns zero.
On the other hand, getProb() returns a meaningful number
with the hypothesis decoder.getHyp() . I am using the latest SVN version:13101 .
Here is the configuration, both bestpath and fwdflat are enabled.
Why do I get zero prob values on the nbest hypothesis set? is it because of
the configuration, or the model training?
Overall, the confidence of n-best hypothesis can be calculated with paths core, basically you compare prob of this particular n-best line with all other lines. This API has not been implemented yet though.
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Hello,
I would like to get the confidence score of the nbest hypothesis set.
Using the Java interface through SWIG, Hypothesis.getProb() returns zero.
On the other hand, getProb() returns a meaningful number
with the hypothesis decoder.getHyp() . I am using the latest SVN version:13101 .
Here is the configuration, both bestpath and fwdflat are enabled.
Why do I get zero prob values on the nbest hypothesis set? is it because of
the configuration, or the model training?
Thanks,
Yuval
-agc none none
-agcthresh 2.0 2.000000e+000
-allphone
-allphone_ci no no
-alpha 0.97 9.700000e-001
-ascale 20.0 2.000000e+001
-aw 1 1
-backtrace no no
-beam 1e-48 1.000000e-048
-bestpath yes yes
-bestpathlw 9.5 9.500000e+000
-ceplen 13 13
-cmn current current
-cmninit 8.0 8.0
-compallsen no no
-debug 0
-dict C:\Users...\mft.dic
-dictcase no no
-dither no no
-doublebw no no
-ds 1 1
-fdict C:\Users...\noisedict
-feat 1s_c_d_dd 1s_c_d_dd
-featparams C:\Users...\feat.params
-fillprob 1e-8 1.000000e-008
-frate 100 100
-fsg
-fsgusealtpron yes yes
-fsgusefiller yes yes
-fwdflat yes yes
-fwdflatbeam 1e-64 1.000000e-064
-fwdflatefwid 4 4
-fwdflatlw 8.5 8.500000e+000
-fwdflatsfwin 25 25
-fwdflatwbeam 7e-29 7.000000e-029
-fwdtree yes yes
-hmm C:\Users...\cont_20
-input_endian little little
-jsgf
-keyphrase
-kws
-kws_delay 10 10
-kws_plp 1e-1 1.000000e-001
-kws_threshold 1 1.000000e+000
-latsize 5000 5000
-lda
-ldadim 0 0
-lifter 0 0
-lm C:\Users...\mft.lm.DMP
-lmctl
-lmname
-logbase 1.0001 1.000100e+000
-logfn
-logspec no no
-lowerf 133.33334 1.333334e+002
-lpbeam 1e-40 1.000000e-040
-lponlybeam 7e-29 7.000000e-029
-lw 6.5 6.500000e+000
-maxhmmpf 30000 30000
-maxwpf -1 -1
-mdef C:\Users...\mdef
-mean C:\Users...\means
-mfclogdir
-min_endfr 0 0
-mixw C:\Users...\mixture_weights
-mixwfloor 0.0000001 1.000000e-007
-mllr
-mmap yes yes
-ncep 13 13
-nfft 512 512
-nfilt 40 40
-nwpen 1.0 1.000000e+000
-pbeam 1e-48 1.000000e-048
-pip 1.0 1.000000e+000
-pl_beam 1e-10 1.000000e-010
-pl_pbeam 1e-10 1.000000e-010
-pl_pip 1.0 1.000000e+000
-pl_weight 3.0 3.000000e+000
-pl_window 5 5
-rawlogdir
-remove_dc no no
-remove_noise yes yes
-remove_silence yes yes
-round_filters yes yes
-samprate 16000 1.600000e+004
-seed -1 -1
-sendump
-senlogdir
-senmgau
-silprob 0.005 5.000000e-003
-smoothspec no no
-svspec
-tmat C:\Users...\transition_matrices
-tmatfloor 0.0001 1.000000e-004
-topn 4 4
-topn_beam 0 0
-toprule
-transform legacy legacy
-unit_area yes yes
-upperf 6855.4976 6.855498e+003
-uw 1.0 1.000000e+000
-vad_postspeech 50 50
-vad_prespeech 20 20
-vad_startspeech 10 10
-vad_threshold 2.0 2.000000e+000
-var C:\Users...\variances
-varfloor 0.0001 1.000000e-004
-varnorm no no
-verbose no no
-warp_params
-warp_type inverse_linear inverse_linear
-wbeam 7e-29 7.000000e-029
-wip 0.65 6.500000e-001
-wlen 0.025625 2.562500e-002
Hello Yuval
We do not support this feature yet.
Overall, the confidence of n-best hypothesis can be calculated with paths core, basically you compare prob of this particular n-best line with all other lines. This API has not been implemented yet though.
Thank you.