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egs/wsj/s5/local/run_basis_fmllr.sh
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#!/bin/bash lang_suffix= echo "$0 $@" # Print the command line for logging . utils/parse_options.sh || exit 1; . ./cmd.sh mfccdir=mfcc # Make "per-utterance" versions of the test sets where the speaker # information corresponds to utterances-- to demonstrate adaptation on # short utterances, particularly for basis fMLLR for x in test_eval92 test_eval93 test_dev93 ; do y=${x}_utt rm -r data/$y cp -r data/$x data/$y cat data/$x/utt2spk | awk '{print $1, $1;}' > data/$y/utt2spk; cp data/$y/utt2spk data/$y/spk2utt; steps/compute_cmvn_stats.sh data/$y exp/make_mfcc/$y $mfccdir || exit 1; done # basis fMLLR experiments. # First a baseline: decode per-utterance with normal fMLLR. steps/decode_fmllr.sh --nj 10 --cmd "$decode_cmd" \ exp/tri3b/graph${lang_suffix}_tgpr data/test_dev93_utt \ exp/tri3b/decode${lang_suffix}_tgpr_dev93_utt || exit 1; steps/decode_fmllr.sh --nj 8 --cmd "$decode_cmd" \ exp/tri3b/graph${lang_suffix}_tgpr data/test_eval92_utt \ exp/tri3b/decode${lang_suffix}_tgpr_eval92_utt || exit 1; # get the fMLLR basis. steps/get_fmllr_basis.sh --cmd "$train_cmd" \ data/train_si284 data/lang${lang_suffix} exp/tri3b # decoding tri3b with basis fMLLR steps/decode_basis_fmllr.sh --nj 10 --cmd "$decode_cmd" \ exp/tri3b/graph${lang_suffix}_tgpr data/test_dev93 \ exp/tri3b/decode${lang_suffix}_tgpr_dev93_basis || exit 1; steps/decode_basis_fmllr.sh --nj 8 --cmd "$decode_cmd" \ exp/tri3b/graph${lang_suffix}_tgpr data/test_eval92 \ exp/tri3b/decode${lang_suffix}_tgpr_eval92_basis || exit 1; # The same, per-utterance. steps/decode_basis_fmllr.sh --nj 10 --cmd "$decode_cmd" \ exp/tri3b/graph${lang_suffix}_tgpr data/test_dev93_utt \ exp/tri3b/decode${lang_suffix}_tgpr_dev93_basis_utt || exit 1; steps/decode_basis_fmllr.sh --nj 8 --cmd "$decode_cmd" \ exp/tri3b/graph${lang_suffix}_tgpr data/test_eval92_utt \ exp/tri3b/decode${lang_suffix}_tgpr_eval92_basis_utt || exit 1; |