yaksea - 2011-12-07

the errors running mllr_solve and map_adapt, after go through bw
ERROR adapting model zh_broadcastnews_ptm256

error 1:

INFO: mllr.c(187): Estimation of 0 th regression in MLLR failed

error 2:

INFO: s3gau_io.c(166): Read zh_broadcastnews_ptm256_8000/means [70x4x256 array]
INFO: s3gau_io.c(166): Read zh_broadcastnews_ptm256_8000/variances [70x4x256 array]
INFO: s3mixw_io.c(116): Read zh_broadcastnews_ptm256_8000/mixture_weights [8210x4x256 array]
INFO: s3tmat_io.c(115): Read zh_broadcastnews_ptm256_8000/transition_matrices [70x3x4 array]
INFO: main.c(430): Reading and accumulating observation counts from .
INFO: s3gau_io.c(379): Read ./gauden_counts with means with vars [70x4x256 vector arrays]
INFO: s3mixw_io.c(116): Read ./mixw_counts [8210x4x256 array]
INFO: s3tmat_io.c(115): Read ./tmat_counts [70x3x4 array]
INFO: main.c(82): Estimating tau hyperparameter from variances and observations
Segmentation fault

below is the details:

/root/work/sphinx/sphinxtrain/bin.i686-pc-linux-gnu/mllr_solve \
    -meanfn zh_broadcastnews_ptm256_8000/means \
    -varfn zh_broadcastnews_ptm256_8000/variances \
    -outmllrfn mllr_matrix \
    -accumdir .

Current configuration:
[NAME]      [DEFLT] [VALUE]
-accumdir       .,
-cb2mllrfn  .1cls.  .1cls.
-cdonly     no  no
-example    no  no
-fullvar    no  no
-help       no  no
-meanfn         zh_broadcastnews_ptm256_8000/means
-mllradd    yes yes
-mllrmult   yes yes
-moddeffn       
-outmllrfn      mllr_matrix
-varfloor   1e-3    1.000000e-03
-varfn          zh_broadcastnews_ptm256_8000/variances


INFO: main.c(387): -- 1. Read input mean, (var) and accumulation.
INFO: s3gau_io.c(166): Read zh_broadcastnews_ptm256_8000/means [70x4x256 array]
INFO: main.c(402): Reading and accumulating counts from .
INFO: s3gau_io.c(379): Read ./gauden_counts with means with vars [70x4x256 vector arrays]

INFO: main.c(441): -- 2. Read cb2mllrfn
INFO: main.c(460): n_mllr_class = 1

INFO: main.c(480): -- 3. Calculate mllr matrices
INFO: main.c(132): 
INFO: main.c(133):  ---- mllr_solve(): Conventional MLLR method
INFO: s3gau_io.c(166): Read zh_broadcastnews_ptm256_8000/variances [70x4x256 array]

INFO: main.c(213):  ---- A. Accum regl, regr
INFO: main.c(214):  No classes 1, no. stream 4
INFO: main.c(286):  ---- B. Compute MLLR matrices (A,B)
INFO: mllr.c(183): Computing both multiplicative and additive part of MLLR
INFO: mllr.c(187): Estimation of 0 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 1 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 2 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 3 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 4 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 5 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 6 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 7 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 8 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 9 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 10 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 11 th regression in MLLR failed
INFO: mllr.c(183): Computing both multiplicative and additive part of MLLR
INFO: mllr.c(187): Estimation of 0 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 1 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 2 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 3 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 4 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 5 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 6 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 7 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 8 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 9 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 10 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 11 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 12 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 13 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 14 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 15 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 16 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 17 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 18 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 19 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 20 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 21 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 22 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 23 th regression in MLLR failed
INFO: mllr.c(183): Computing both multiplicative and additive part of MLLR
INFO: mllr.c(187): Estimation of 0 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 1 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 2 th regression in MLLR failed
INFO: mllr.c(183): Computing both multiplicative and additive part of MLLR
INFO: mllr.c(187): Estimation of 0 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 1 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 2 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 3 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 4 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 5 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 6 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 7 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 8 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 9 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 10 th regression in MLLR failed
INFO: mllr.c(187): Estimation of 11 th regression in MLLR failed

INFO: main.c(502): -- 4. Store mllr matrices (A,B) to mllr_matrix
INFO: cmd_ln.c(691): Parsing command line:
/root/work/sphinx/sphinxtrain/bin.i686-pc-linux-gnu/map_adapt \
    -meanfn zh_broadcastnews_ptm256_8000/means \
    -varfn zh_broadcastnews_ptm256_8000/variances \
    -mixwfn zh_broadcastnews_ptm256_8000/mixture_weights \
    -tmatfn zh_broadcastnews_ptm256_8000/transition_matrices \
    -accumdir . \
    -mapmeanfn zh_broadcastnews_ptm256_8000_adapt/means \
    -mapvarfn zh_broadcastnews_ptm256_8000_adapt/variances \
    -mapmixwfn zh_broadcastnews_ptm256_8000_adapt/mixture_weights \
    -maptmatfn zh_broadcastnews_ptm256_8000_adapt/transition_matrices

Current configuration:
[NAME]      [DEFLT] [VALUE]
-accumdir       .,
-bayesmean  yes yes
-example    no  no
-fixedtau   no  no
-help       no  no
-mapmeanfn      zh_broadcastnews_ptm256_8000_adapt/means
-mapmixwfn      zh_broadcastnews_ptm256_8000_adapt/mixture_weights
-maptmatfn      zh_broadcastnews_ptm256_8000_adapt/transition_matrices
-mapvarfn       zh_broadcastnews_ptm256_8000_adapt/variances
-meanfn         zh_broadcastnews_ptm256_8000/means
-mixwfn         zh_broadcastnews_ptm256_8000/mixture_weights
-mwfloor    0.00001 1.000000e-05
-tau        10.0    1.000000e+01
-tmatfn         zh_broadcastnews_ptm256_8000/transition_matrices
-tpfloor    0.0001  1.000000e-04
-varfloor   0.00001 1.000000e-05
-varfn          zh_broadcastnews_ptm256_8000/variances

INFO: s3gau_io.c(166): Read zh_broadcastnews_ptm256_8000/means [70x4x256 array]
INFO: s3gau_io.c(166): Read zh_broadcastnews_ptm256_8000/variances [70x4x256 array]
INFO: s3mixw_io.c(116): Read zh_broadcastnews_ptm256_8000/mixture_weights [8210x4x256 array]
INFO: s3tmat_io.c(115): Read zh_broadcastnews_ptm256_8000/transition_matrices [70x3x4 array]
INFO: main.c(430): Reading and accumulating observation counts from .
INFO: s3gau_io.c(379): Read ./gauden_counts with means with vars [70x4x256 vector arrays]
INFO: s3mixw_io.c(116): Read ./mixw_counts [8210x4x256 array]
INFO: s3tmat_io.c(115): Read ./tmat_counts [70x3x4 array]
INFO: main.c(82): Estimating tau hyperparameter from variances and observations
Segmentation fault

Thanks & Best regards