mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-08 09:32:20 +00:00
201 lines
7.3 KiB
Bash
Executable File
201 lines
7.3 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=-1
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stop_stage=100
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dl_dir=$PWD/download
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. shared/parse_options.sh || exit 1
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# All files generated by this script are saved in "data".
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# You can safely remove "data" and rerun this script to regenerate it.
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mkdir -p data
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log() {
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# This function is from espnet
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local fname=${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 -1 ] && [ $stop_stage -ge -1 ]; then
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log "Stage -1: build monotonic_align lib"
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if [ ! -d vits/monotonic_align/build ]; then
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cd vits/monotonic_align
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python3 setup.py build_ext --inplace
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cd ../../
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else
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log "monotonic_align lib for vits already built"
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fi
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if [ ! -f ./matcha/monotonic_align/core.cpython-38-x86_64-linux-gnu.so ]; then
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pushd matcha/monotonic_align
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python3 setup.py build
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mv -v build/lib.*/matcha/monotonic_align/core.*.so .
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rm -rf build
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rm core.c
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ls -lh
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popd
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else
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log "monotonic_align lib for matcha-tts already built"
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fi
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fi
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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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# The directory $dl_dir/LJSpeech-1.1 will contain:
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# - wavs, which contains the audio files
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# - metadata.csv, which provides the transcript text for each audio clip
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# If you have pre-downloaded it to /path/to/LJSpeech-1.1, you can create a symlink
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#
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# ln -sfv /path/to/LJSpeech-1.1 $dl_dir/LJSpeech-1.1
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#
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if [ ! -d $dl_dir/LJSpeech-1.1 ]; then
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lhotse download ljspeech $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 LJSpeech manifest"
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# We assume that you have downloaded the LJSpeech corpus
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# to $dl_dir/LJSpeech-1.1
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mkdir -p data/manifests
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if [ ! -e data/manifests/.ljspeech.done ]; then
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lhotse prepare ljspeech $dl_dir/LJSpeech-1.1 data/manifests
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touch data/manifests/.ljspeech.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 spectrogram for LJSpeech (used by ./vits)"
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mkdir -p data/spectrogram
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if [ ! -e data/spectrogram/.ljspeech.done ]; then
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./local/compute_spectrogram_ljspeech.py
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touch data/spectrogram/.ljspeech.done
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fi
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if [ ! -e data/spectrogram/.ljspeech-validated.done ]; then
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log "Validating data/spectrogram for LJSpeech (used by ./vits)"
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python3 ./local/validate_manifest.py \
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data/spectrogram/ljspeech_cuts_all.jsonl.gz
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touch data/spectrogram/.ljspeech-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 3: Prepare phoneme tokens for LJSpeech (used by ./vits)"
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# We assume you have installed piper_phonemize and espnet_tts_frontend.
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# If not, please install them with:
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# - piper_phonemize: pip install piper_phonemize -f https://k2-fsa.github.io/icefall/piper_phonemize.html,
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# - espnet_tts_frontend, `pip install espnet_tts_frontend`, refer to https://github.com/espnet/espnet_tts_frontend/
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if [ ! -e data/spectrogram/.ljspeech_with_token.done ]; then
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./local/prepare_tokens_ljspeech.py --in-out-dir ./data/spectrogram
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mv data/spectrogram/ljspeech_cuts_with_tokens_all.jsonl.gz \
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data/spectrogram/ljspeech_cuts_all.jsonl.gz
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touch data/spectrogram/.ljspeech_with_token.done
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fi
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fi
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if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then
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log "Stage 4: Split the LJSpeech cuts into train, valid and test sets (used by vits)"
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if [ ! -e data/spectrogram/.ljspeech_split.done ]; then
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lhotse subset --last 600 \
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data/spectrogram/ljspeech_cuts_all.jsonl.gz \
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data/spectrogram/ljspeech_cuts_validtest.jsonl.gz
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lhotse subset --first 100 \
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data/spectrogram/ljspeech_cuts_validtest.jsonl.gz \
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data/spectrogram/ljspeech_cuts_valid.jsonl.gz
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lhotse subset --last 500 \
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data/spectrogram/ljspeech_cuts_validtest.jsonl.gz \
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data/spectrogram/ljspeech_cuts_test.jsonl.gz
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rm data/spectrogram/ljspeech_cuts_validtest.jsonl.gz
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n=$(( $(gunzip -c data/spectrogram/ljspeech_cuts_all.jsonl.gz | wc -l) - 600 ))
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lhotse subset --first $n \
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data/spectrogram/ljspeech_cuts_all.jsonl.gz \
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data/spectrogram/ljspeech_cuts_train.jsonl.gz
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touch data/spectrogram/.ljspeech_split.done
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fi
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fi
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if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then
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log "Stage 5: Generate token file"
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# We assume you have installed piper_phonemize and espnet_tts_frontend.
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# If not, please install them with:
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# - piper_phonemize: refer to https://github.com/rhasspy/piper-phonemize,
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# could install the pre-built wheels from https://github.com/csukuangfj/piper-phonemize/releases/tag/2023.12.5
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# - espnet_tts_frontend, `pip install espnet_tts_frontend`, refer to https://github.com/espnet/espnet_tts_frontend/
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if [ ! -e data/tokens.txt ]; then
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./local/prepare_token_file.py --tokens data/tokens.txt
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fi
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fi
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if [ $stage -le 6 ] && [ $stop_stage -ge 6 ]; then
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log "Stage 6: Generate fbank (used by ./matcha)"
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mkdir -p data/fbank
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if [ ! -e data/fbank/.ljspeech.done ]; then
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./local/compute_fbank_ljspeech.py
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touch data/fbank/.ljspeech.done
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fi
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if [ ! -e data/fbank/.ljspeech-validated.done ]; then
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log "Validating data/fbank for LJSpeech (used by ./matcha)"
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python3 ./local/validate_manifest.py \
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data/fbank/ljspeech_cuts_all.jsonl.gz
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touch data/fbank/.ljspeech-validated.done
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fi
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fi
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if [ $stage -le 7 ] && [ $stop_stage -ge 7 ]; then
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log "Stage 7: Prepare phoneme tokens for LJSpeech (used by ./matcha)"
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# We assume you have installed piper_phonemize and espnet_tts_frontend.
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# If not, please install them with:
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# - piper_phonemize: pip install piper_phonemize -f https://k2-fsa.github.io/icefall/piper_phonemize.html,
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# - espnet_tts_frontend, `pip install espnet_tts_frontend`, refer to https://github.com/espnet/espnet_tts_frontend/
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if [ ! -e data/fbank/.ljspeech_with_token.done ]; then
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./local/prepare_tokens_ljspeech.py --in-out-dir ./data/fbank
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mv data/fbank/ljspeech_cuts_with_tokens_all.jsonl.gz \
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data/fbank/ljspeech_cuts_all.jsonl.gz
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touch data/fbank/.ljspeech_with_token.done
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fi
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fi
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if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then
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log "Stage 8: Split the LJSpeech cuts into train, valid and test sets (used by ./matcha)"
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if [ ! -e data/fbank/.ljspeech_split.done ]; then
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lhotse subset --last 600 \
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data/fbank/ljspeech_cuts_all.jsonl.gz \
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data/fbank/ljspeech_cuts_validtest.jsonl.gz
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lhotse subset --first 100 \
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data/fbank/ljspeech_cuts_validtest.jsonl.gz \
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data/fbank/ljspeech_cuts_valid.jsonl.gz
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lhotse subset --last 500 \
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data/fbank/ljspeech_cuts_validtest.jsonl.gz \
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data/fbank/ljspeech_cuts_test.jsonl.gz
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rm data/fbank/ljspeech_cuts_validtest.jsonl.gz
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n=$(( $(gunzip -c data/fbank/ljspeech_cuts_all.jsonl.gz | wc -l) - 600 ))
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lhotse subset --first $n \
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data/fbank/ljspeech_cuts_all.jsonl.gz \
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data/fbank/ljspeech_cuts_train.jsonl.gz
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touch data/fbank/.ljspeech_split.done
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fi
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fi
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if [ $stage -le 9 ] && [ $stop_stage -ge 9 ]; then
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log "Stage 9: Compute fbank mean and std (used by ./matcha)"
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if [ ! -f ./data/fbank/cmvn.json ]; then
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./local/compute_fbank_statistics.py ./data/fbank/ljspeech_cuts_train.jsonl.gz ./data/fbank/cmvn.json
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fi
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fi
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