yuyue_tts_baseline / run_wavlm_smollm_yuyue.sh
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#!/usr/bin/env bash
# Set bash to 'debug' mode, it will exit on :
# -e 'error', -u 'undefined variable', -o ... 'error in pipeline', -x 'print commands',
set -e
set -u
set -o pipefail
# start command:
# bash run_wavlm_smollm.sh --stage 8 --stop_stage 8 --ngpu 8 --tag tts_smollm_whole_rinit --train_args "--codec_token_per_frame 8 --codec_token_in_use 8 --loss_region whole"
train_jsons=""
valid_jsons=""
test_jsons=""
# TTS
train_jsons+="dump_wavlm/raw_tts_librispeech/train_960/data.json dump_wavlm/raw_tts_mls_en/mls_en_train/data.json"
valid_jsons+="dump_wavlm/raw_tts_librispeech/dev/data.json "
# Test sets
test_jsons+="dump_wavlm/raw_codec_ssl_asr_librispeech/test_clean/data.json "
test_jsons+="dump_wavlm/raw_codec_ssl_tts_librispeech/test_clean/data.json "
train_config=conf/train_multiscale_smollm_360m.yaml
inference_config=conf/decode_asr.yaml
token_list_dir=data/token_list/llm_vocab # use lllm vocab
bpe_opts="--subword_choice huggingface --subword_model HuggingFaceTB/SmolLM-1.7B"
codec_opts="--codec_choice inhouse"
./speechlm.sh \
--skip_data_prep true \
--data_combo_name ls960_mlsen \
--fs 16000 \
--ngpu 4 \
--nj 16 \
--inference_nj 16 \
--nbest 10 \
--gpu_inference true \
--g2p g2p_en_no_space \
--cleaner tacotron \
--token_list_dir ${token_list_dir} \
--train_config ${train_config} \
--inference_config ${inference_config} \
--audio_format "flac.ark" \
--train_jsons "${train_jsons}" \
--valid_jsons "${valid_jsons}" \
--test_jsons "${test_jsons}" \
--dumpdir dump_wavlm \
${bpe_opts} ${codec_opts} \
"$@"