mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-09 18:12:19 +00:00
88 lines
2.9 KiB
Bash
Executable File
88 lines
2.9 KiB
Bash
Executable File
#!/usr/bin/env bash
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# fix segmentation fault reported in https://github.com/k2-fsa/icefall/issues/674
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export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
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set -eou pipefail
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stage=0
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stop_stage=5
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sampling_rate=24000
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nj=32
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dl_dir=$PWD/download
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# All files generated by this script are saved in "data".
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# You can safely remove "data" and rerun this script to regenerate it.
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mkdir -p data
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log() {
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# This function is from espnet
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local fname=${BASH_SOURCE[1]##*/}
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echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
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}
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log "dl_dir: $dl_dir"
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if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then
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log "Stage 0: Download data"
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# If you have pre-downloaded it to /path/to/LibriTTS,
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# you can create a symlink
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#
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# ln -sfv /path/to/LibriTTS $dl_dir/LibriTTS
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#
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if [ ! -d $dl_dir/LibriTTS ]; then
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lhotse download libritts $dl_dir
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fi
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fi
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if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then
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log "Stage 1: Prepare LibriTTS manifest"
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# We assume that you have downloaded the LibriTTS corpus
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# to $dl_dir/LibriTTS
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mkdir -p data/manifests_libritts
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if [ ! -e data/manifests_libritts/.libritts.done ]; then
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lhotse prepare libritts --num-jobs ${nj} $dl_dir/LibriTTS data/manifests_libritts
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touch data/manifests_libritts/.libritts.done
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fi
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fi
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if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then
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log "Stage 2: Compute Fbank for LibriTTS"
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mkdir -p data/fbank
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if [ ! -e data/fbank_libritts/.libritts.done ]; then
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./local/compute_fbank_libritts.py --sampling-rate $sampling_rate
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touch data/fbank_libritts/.libritts.done
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fi
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# Here we shuffle and combine the train-clean-100, train-clean-360 and
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# train-other-500 together to form the training set.
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if [ ! -f data/fbank_libritts/libritts_cuts_train-all-shuf.jsonl.gz ]; then
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cat <(gunzip -c data/fbank_libritts/libritts_cuts_train-clean-100.jsonl.gz) \
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<(gunzip -c data/fbank_libritts/libritts_cuts_train-clean-360.jsonl.gz) \
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<(gunzip -c data/fbank_libritts/libritts_cuts_train-other-500.jsonl.gz) | \
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shuf | gzip -c > data/fbank_libritts/libritts_cuts_train-all-shuf.jsonl.gz
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fi
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if [ ! -f data/fbank_libritts/libritts_cuts_train-clean-460.jsonl.gz ]; then
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cat <(gunzip -c data/fbank_libritts/libritts_cuts_train-clean-100.jsonl.gz) \
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<(gunzip -c data/fbank_libritts/libritts_cuts_train-clean-360.jsonl.gz) | \
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shuf | gzip -c > data/fbank_libritts/libritts_cuts_train-clean-460.jsonl.gz
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fi
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if [ ! -e data/fbank_libritts/.libritts-validated.done ]; then
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log "Validating data/fbank for LibriTTS"
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./local/validate_manifest.py \
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data/fbank_libritts/libritts_cuts_train-all-shuf.jsonl.gz
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touch data/fbank_libritts/.libritts-validated.done
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fi
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fi
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if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then
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log "Stage 4: Generate token file"
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if [ ! -e data/tokens_libritts.txt ]; then
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./local/prepare_token_file_libritts.py --tokens data/tokens_libritts.txt
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fi
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fi |