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
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the errors running mllr_solve and map_adapt, after go through bw
ERROR adapting model zh_broadcastnews_ptm256
error 1:
error 2:
below is the details:
Thanks & Best regards