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#!/bin/bash
# Copyright 2017 Vimal Manohar
# 2018 Ashish Arora
# Apache 2.0
# This script demonstrates semi-supervised training using 25k line images of
# supervised data and 22k line images of unsupervised data.
# We assume the supervised data is in data/train and unsupervised data
# is in data/train_unsup.
# For LM training, we use 5 million lines of tamil text.
set -e
set -o pipefail
stage=0
nj=30
exp_root=exp/semisup_100k
. ./cmd.sh
. ./path.sh
. ./utils/parse_options.sh
mkdir -p data/train_unsup/data
if [ $stage -le 0 ]; then
echo "stage 0: Processing train unsupervised data...$(date)"
local/semisup/process_data.py data/download/ \
data/local/splits/train_unsup.txt \
data/train_unsup
image/fix_data_dir.sh data/train_unsup
fi
if [ $stage -le 1 ]; then
echo "stage 1: Obtaining image groups. calling get_image2num_frames..."
image/get_image2num_frames.py --feat-dim 40 data/train_unsup
image/get_allowed_lengths.py --frame-subsampling-factor 4 10 data/train_unsup
echo "Extracting features and calling compute_cmvn_stats: $(date) "
local/extract_features.sh --nj $nj --cmd "$cmd" --feat-dim 40 data/train_unsup
steps/compute_cmvn_stats.sh data/train_unsup || exit 1;
image/fix_data_dir.sh data/train_unsup
fi
for f in data/train/utt2spk data/train_unsup/utt2spk \
data/train/text; do
if [ ! -f $f ]; then
echo "$0: Could not find $f"
exit 1;
fi
done
# Prepare semi-supervised train set
if [ $stage -le 1 ]; then
utils/combine_data.sh data/semisup100k_250k \
data/train_aug data/train_unsup || exit 1
fi
###############################################################################
# Semi-supervised training using 25k line images supervised data and
# 22k hours unsupervised data. We use tree, lattices
# and seed chain system from the previous stage.
###############################################################################
if [ $stage -le 2 ]; then
local/semisup/chain/run_cnn_chainali_semisupervised_1b.sh \
--supervised-set train_aug \
--unsupervised-set train_unsup \
--sup-chain-dir exp/chain/cnn_e2eali_1b \
--sup-lat-dir exp/chain/e2e_train_lats \
--sup-tree-dir exp/chain/tree_e2e \
--chain-affix "" \
--tdnn-affix _semisup_1a \
--exp-root $exp_root || exit 1
fi
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