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53 lines
1.1 KiB
53 lines
1.1 KiB
#! /usr/bin/env bash
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# download language model
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cd ${MAIN_ROOT}/models/lm > /dev/null
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bash download_lm_en.sh
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if [ $? -ne 0 ]; then
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exit 1
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fi
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cd - > /dev/null
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# download well-trained model
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cd ${MAIN_ROOT}/models/librispeech > /dev/null
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bash download_model.sh
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if [ $? -ne 0 ]; then
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exit 1
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fi
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cd - > /dev/null
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# evaluate model
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CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 \
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python3 -u ${MAIN_ROOT}/test.py \
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--batch_size=128 \
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--beam_size=500 \
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--num_proc_bsearch=8 \
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--num_conv_layers=2 \
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--num_rnn_layers=3 \
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--rnn_layer_size=2048 \
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--alpha=2.5 \
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--beta=0.3 \
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--cutoff_prob=1.0 \
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--cutoff_top_n=40 \
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--use_gru=False \
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--use_gpu=True \
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--share_rnn_weights=True \
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--test_manifest="data/manifest.test-clean" \
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--mean_std_path="${MAIN_ROOT}/models/librispeech/mean_std.npz" \
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--vocab_path="${MAIN_ROOT}/models/librispeech/vocab.txt" \
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--model_path="${MAIN_ROOT}/models/librispeech" \
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--lang_model_path="${MAIN_ROOT}/models/lm/common_crawl_00.prune01111.trie.klm" \
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--decoding_method="ctc_beam_search" \
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--error_rate_type="wer" \
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--specgram_type="linear"
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if [ $? -ne 0 ]; then
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echo "Failed in evaluation!"
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exit 1
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fi
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exit 0
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