#!/bin/bash # train.sh - LibriSpeech ASR Training Script with Data Augmentation Control # Usage: bash train.sh set -euo pipefail # Data Augmentation Controls (modify these as needed) enable_spec_aug=false # SpecAugment (frequency/time masking) enable_musan=false # MUSAN noise augmentation enable_rir=false enable_cutmix=false enable_concatenate=false # RIR settings (used when enable_rir=true) rir_cuts_path="data/rir/rir_cuts.jsonl.gz" rir_prob=0.5 # Training parameters world_size=3 max_duration=300 valid_max_duration=15 num_buckets=200 num_workers=32 warm_step=10000 lang_dir="./data/lang_bpe_5000" method="ctc-decoding" # Model parameters att_rate=0 # 0 for pure CTC, >0 for CTC+Attention num_decoder_layers=0 # 0 for pure CTC # Other settings start_epoch=78 master_port=12346 sanity_check=false # Set to true for OOM checking (slower) # Validation settings enable_validation=true # Temporarily disable validation to avoid crashes valid_interval=5000 # Much larger interval if we enable validation later # Validation decoding settings validation_decoding_method="greedy" # "greedy" or "beam" - use greedy for faster validation validation_search_beam=10.0 # Beam size for validation (only used if method="beam") validation_output_beam=5.0 # Output beam for validation (only used if method="beam") validation_skip_wer=false # Skip WER computation for even faster validation (디버깅용 - 이제 false로 변경) if [ "$enable_rir" = "true" ]; then echo " - RIR Path: $rir_cuts_path" echo " - RIR Probability: $rir_prob" fi # gdb --args python ./conformer_ctc/train.py if [ -z "${PYTHONPATH:-}" ]; then export PYTHONPATH="/tmp/icefall" else export PYTHONPATH="${PYTHONPATH}:/tmp/icefall" fi python3 ./conformer_ctc/train.py \ --master-port $master_port \ --sanity-check $sanity_check \ --world-size $world_size \ --warm-step $warm_step \ --start-epoch $start_epoch \ --att-rate $att_rate \ --num-decoder-layers $num_decoder_layers \ --num-workers $num_workers \ --enable-spec-aug $enable_spec_aug \ --enable-musan $enable_musan \ --enable-rir $enable_rir \ --rir-cuts-path $rir_cuts_path \ --rir-prob $rir_prob \ --max-duration $max_duration \ --valid-max-duration $valid_max_duration \ --num-buckets $num_buckets \ --bucketing-sampler true \ --concatenate-cuts $enable_concatenate \ --duration-factor 1.0 \ --drop-last true \ --shuffle true \ --lang-dir $lang_dir \ --method $method \ --enable-validation $enable_validation \ --valid-interval $valid_interval \ --validation-decoding-method $validation_decoding_method \ --validation-search-beam $validation_search_beam \ --validation-output-beam $validation_output_beam \ --validation-skip-wer $validation_skip_wer