fix benchmark and chain, add parse_options in run.sh, move tacotron2_ge2e into voice_cloning

examples/aishell3/tts3/run.sh

@@ -12,6 +12,11 @@ conf_path=conf/default.yaml
 train_output_path=exp/default
 ckpt_name=snapshot_iter_482.pdz
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
+
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data
     ./local/preprocess.sh ${conf_path} || exit -1

examples/aishell3/vc0/local/preprocess.sh

@@ -9,7 +9,7 @@ alignment=$3
 ge2e_ckpt_path=$4
 
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
-    python3 ${BIN_DIR}/../ge2e/inference.py \
+    python3 ${BIN_DIR}/../../ge2e/inference.py \
         --input=${input} \
         --output=${preprocess_path}/embed \
         --device="gpu" \

examples/aishell3/vc0/path.sh

@@ -9,5 +9,5 @@ export PYTHONDONTWRITEBYTECODE=1
 export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
-MODEL=tacotron2_ge2e
+MODEL=voice_cloning/tacotron2_ge2e
 export BIN_DIR=${MAIN_ROOT}/parakeet/exps/${MODEL}

examples/aishell3/vc0/run.sh

@@ -23,6 +23,10 @@ waveflow_params_path=./waveflow_ljspeech_ckpt_0.3/step-2000000.pdparams
 vc_input=ref_audio
 vc_output=syn_audio
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
 
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data

examples/csmsc/tts2/run.sh

@@ -11,6 +11,11 @@ conf_path=conf/default.yaml
 train_output_path=exp/default
 ckpt_name=snapshot_iter_76.pdz
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
+
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data
     ./local/preprocess.sh ${conf_path} || exit -1

examples/csmsc/tts3/run.sh

@@ -11,6 +11,11 @@ conf_path=conf/default.yaml
 train_output_path=exp/default
 ckpt_name=snapshot_iter_153.pdz
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
+
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data
     bash ./local/preprocess.sh ${conf_path} || exit -1

examples/csmsc/voc1/run.sh

@@ -11,6 +11,11 @@ conf_path=conf/default.yaml
 train_output_path=exp/default
 ckpt_name=snapshot_iter_5000.pdz
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
+
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data
     ./local/preprocess.sh ${conf_path} || exit -1

examples/ljspeech/tts0/run.sh

@@ -11,6 +11,11 @@ preprocess_path=preprocessed_ljspeech
 train_output_path=output
 ckpt_name=step-35000
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
+
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data
     ./local/preprocess.sh ${preprocess_path} || exit -1

examples/ljspeech/tts1/run.sh

@@ -11,6 +11,11 @@ conf_path=conf/default.yaml
 train_output_path=exp/default
 ckpt_name=snapshot_iter_403.pdz
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
+
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data
     ./local/preprocess.sh ${conf_path} || exit -1

examples/ljspeech/tts3/run.sh

@@ -11,6 +11,11 @@ conf_path=conf/default.yaml
 train_output_path=exp/default
 ckpt_name=snapshot_iter_201.pdz
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
+
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data
     ./local/preprocess.sh ${conf_path} || exit -1

examples/ljspeech/voc0/run.sh

@@ -13,6 +13,11 @@ train_output_path=output
 input_mel_path=../tts0/output/test
 ckpt_name=step-10000
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
+
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data
     ./local/preprocess.sh ${preprocess_path} || exit -1

examples/ljspeech/voc1/run.sh

@@ -11,6 +11,11 @@ conf_path=conf/default.yaml
 train_output_path=exp/default
 ckpt_name=snapshot_iter_5000.pdz
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
+
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data
     ./local/preprocess.sh ${conf_path} || exit -1

examples/other/ge2e/run.sh

@@ -15,6 +15,10 @@ infer_input=infer_input
 infer_output=infer_output
 ckpt_name=step-10000
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
 
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data

examples/vctk/tts3/run.sh

@@ -11,6 +11,11 @@ conf_path=conf/default.yaml
 train_output_path=exp/default
 ckpt_name=snapshot_iter_331.pdz
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
+
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data
     ./local/preprocess.sh ${conf_path} || exit -1

examples/vctk/voc1/run.sh

@@ -11,6 +11,11 @@ conf_path=conf/default.yaml
 train_output_path=exp/default
 ckpt_name=snapshot_iter_5000.pdz
 
+# with the following command, you can choice the stage range you want to run
+# such as `./run.sh --stage 0 --stop-stage 0`
+# this can not be mixed use with `$1`, `$2` ...
+source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
+
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
     # prepare data
     ./local/preprocess.sh ${conf_path} || exit -1

parakeet/exps/voice_cloning/tacotron2_ge2e/__init__.py

@@ -0,0 +1,13 @@
+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.

parakeet/exps/voice_cloning/tacotron2_ge2e/aishell3.py

@@ -19,8 +19,8 @@ from paddle.io import Dataset
 
 from parakeet.data import batch_spec
 from parakeet.data import batch_text_id
-from parakeet.exps.tacotron2_ge2e.preprocess_transcription import _phones
-from parakeet.exps.tacotron2_ge2e.preprocess_transcription import _tones
+from parakeet.exps.voice_cloning.tacotron2_ge2e.preprocess_transcription import _phones
+from parakeet.exps.voice_cloning.tacotron2_ge2e.preprocess_transcription import _tones
 from parakeet.frontend import Vocab
 
 voc_phones = Vocab(sorted(list(_phones)))

parakeet/exps/voice_cloning/tacotron2_ge2e/chinese_g2p.py

@@ -17,7 +17,7 @@ from typing import Tuple
 from pypinyin import lazy_pinyin
 from pypinyin import Style
 
-from parakeet.exps.tacotron2_ge2e.preprocess_transcription import split_syllable
+from parakeet.exps.voice_cloning.tacotron2_ge2e.preprocess_transcription import split_syllable
 
 
 def convert_to_pinyin(text: str) -> List[str]:

parakeet/exps/voice_cloning/tacotron2_ge2e/extract_mel.py

@@ -22,7 +22,7 @@ import tqdm
 from parakeet.audio import AudioProcessor
 from parakeet.audio.spec_normalizer import LogMagnitude
 from parakeet.audio.spec_normalizer import NormalizerBase
-from parakeet.exps.tacotron2_ge2e.config import get_cfg_defaults
+from parakeet.exps.voice_cloning.tacotron2_ge2e.config import get_cfg_defaults
 
 
 def extract_mel(fname: Path,

parakeet/exps/voice_cloning/tacotron2_ge2e/train.py

@@ -23,9 +23,9 @@ from paddle.io import DataLoader
 from paddle.io import DistributedBatchSampler
 
 from parakeet.data import dataset
-from parakeet.exps.tacotron2_ge2e.aishell3 import AiShell3
-from parakeet.exps.tacotron2_ge2e.aishell3 import collate_aishell3_examples
-from parakeet.exps.tacotron2_ge2e.config import get_cfg_defaults
+from parakeet.exps.voice_cloning.tacotron2_ge2e.aishell3 import AiShell3
+from parakeet.exps.voice_cloning.tacotron2_ge2e.aishell3 import collate_aishell3_examples
+from parakeet.exps.voice_cloning.tacotron2_ge2e.config import get_cfg_defaults
 from parakeet.models.tacotron2 import Tacotron2
 from parakeet.models.tacotron2 import Tacotron2Loss
 from parakeet.training.cli import default_argument_parser

parakeet/exps/voice_cloning/tacotron2_ge2e/voice_cloning.py

@@ -21,9 +21,9 @@ import soundfile as sf
 from matplotlib import pyplot as plt
 
 from parakeet.exps.ge2e.audio_processor import SpeakerVerificationPreprocessor
-from parakeet.exps.tacotron2_ge2e.aishell3 import voc_phones
-from parakeet.exps.tacotron2_ge2e.aishell3 import voc_tones
-from parakeet.exps.tacotron2_ge2e.chinese_g2p import convert_sentence
+from parakeet.exps.voice_cloning.tacotron2_ge2e.aishell3 import voc_phones
+from parakeet.exps.voice_cloning.tacotron2_ge2e.aishell3 import voc_tones
+from parakeet.exps.voice_cloning.tacotron2_ge2e.chinese_g2p import convert_sentence
 from parakeet.models.lstm_speaker_encoder import LSTMSpeakerEncoder
 from parakeet.models.tacotron2 import Tacotron2
 from parakeet.models.waveflow import ConditionalWaveFlow

tests/benchmark/pwgan/README.md

@@ -4,8 +4,8 @@
 ```
 即可运行.
 执行逻辑：
-1. cd 到 ../../../ (也就是 Parakeet 目录)
+1. cd 到 ../../../ (也就是 Deepspeech 目录)
 2. 安装 parakeet 所需依赖
 3. 从 bos 下载数据集并解压缩
-4. 预处理数据集为训练 pwg 所需格式，保存到 Parakeet/dump 文件夹底下
+4. 预处理数据集为训练 pwg 所需格式，保存到 Deepspeech/dump 文件夹底下
 5. 按照不同的参数执行 run_benchmark.sh 脚本

tests/benchmark/pwgan/run_all.sh

@@ -10,6 +10,9 @@ cd ../../../
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
       sudo apt-get install libsndfile1
       pip install -e .
+      pushd examples/csmsc/voc1
+      source path.sh
+      popd
 fi
 # 2 拷贝该模型需要数据、预训练模型
 # 下载 baker 数据集到 home 目录下并解压缩到 home 目录下
@@ -22,15 +25,14 @@ fi
 # 数据预处理
 if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
 
-      python examples/GANVocoder/preprocess.py --rootdir=BZNSYP/ --dumpdir=dump --num-cpu=20 --cut-sil=True --dur-file=durations.txt --config=examples/GANVocoder/parallelwave_gan/baker/conf/default.yaml
-      python utils/compute_statistics.py --metadata=dump/train/raw/metadata.jsonl --field-name="feats"
-      python examples/GANVocoder/normalize.py --metadata=dump/train/raw/metadata.jsonl --dumpdir=dump/train/norm --stats=dump/train/feats_stats.npy
-      python examples/GANVocoder/normalize.py --metadata=dump/dev/raw/metadata.jsonl --dumpdir=dump/dev/norm --stats=dump/train/feats_stats.npy
-      python examples/GANVocoder/normalize.py --metadata=dump/test/raw/metadata.jsonl --dumpdir=dump/test/norm --stats=dump/train/feats_stats.npy
+      python3 parakeet/exps/gan_vocoder/preprocess.py --rootdir=BZNSYP/ --dumpdir=dump --num-cpu=20 --cut-sil=True --dur-file=durations.txt --config=examples/csmsc/voc1/conf/default.yaml
+      python3 utils/compute_statistics.py --metadata=dump/train/raw/metadata.jsonl --field-name="feats"
+      python3 parakeet/exps/gan_vocoder/normalize.py --metadata=dump/train/raw/metadata.jsonl --dumpdir=dump/train/norm --stats=dump/train/feats_stats.npy
+      python3 parakeet/exps/gan_vocoder/normalize.py --metadata=dump/dev/raw/metadata.jsonl --dumpdir=dump/dev/norm --stats=dump/train/feats_stats.npy
+      python3 parakeet/exps/gan_vocoder/normalize.py --metadata=dump/test/raw/metadata.jsonl --dumpdir=dump/test/norm --stats=dump/train/feats_stats.npy
 fi
 # 3 批量运行（如不方便批量，1，2需放到单个模型中）
 if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
- 
       model_mode_list=(pwg)
       fp_item_list=(fp32)
       # 满 bs 是 26
@@ -40,7 +42,7 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
             for bs_item in ${bs_item_list[@]}; do
                   echo "index is speed, 1gpus, begin, ${model_name}"
                   run_mode=sp
-                  CUDA_VISIBLE_DEVICES=0 bash tests/benchmark/PWGAN/run_benchmark.sh ${run_mode} ${bs_item} ${fp_item} 100 ${model_mode}     #  (5min)
+                  CUDA_VISIBLE_DEVICES=0 bash tests/benchmark/pwgan/run_benchmark.sh ${run_mode} ${bs_item} ${fp_item} 100 ${model_mode}     #  (5min)
                   sleep 60
                   echo "index is speed, 8gpus, run_mode is multi_process, begin, ${model_name}"
                   run_mode=mp

tests/benchmark/pwgan/run_benchmark.sh

@@ -24,13 +24,13 @@ function _train(){
                --max-iter=${max_iter} 
                --train-metadata=dump/train/norm/metadata.jsonl \
                --dev-metadata=dump/dev/norm/metadata.jsonl \
-               --config=examples/GANVocoder/parallelwave_gan/baker/conf/default.yaml \
+               --config=examples/csmsc/voc1/conf/default.yaml \
                --output-dir=exp/default \
                --run-benchmark=true"   
 
     case ${run_mode} in
-    sp) train_cmd="python3 examples/GANVocoder/parallelwave_gan/train.py --nprocs=1 ${train_cmd}" ;;
-    mp) train_cmd="python3 examples/GANVocoder/parallelwave_gan/train.py --nprocs=8 ${train_cmd}"
+    sp) train_cmd="python3 parakeet/exps/gan_vocoder/parallelwave_gan/train.py --nprocs=1 ${train_cmd}" ;;
+    mp) train_cmd="python3 parakeet/exps/gan_vocoder/parallelwave_gan/train.py --nprocs=8 ${train_cmd}"
         log_parse_file="mylog/workerlog.0" ;;
     *) echo "choose run_mode(sp or mp)"; exit 1;
     esac

tests/chains/speedyspeech/speedyspeech_params_lite_multi_gpu.txt

@@ -13,7 +13,7 @@ null:null
 null:null
 ##
 trainer:norm_train
-norm_train:../../examples/speedyspeech/train.py --train-metadata=train_data/mini_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/mini_BZNSYP/dev/norm/metadata.jsonl --config=../../examples/speedyspeech/baker/conf/default.yaml --batch_size=32 --max_epoch=20 --num_snapshots=10 --output-dir=exp/default --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt --use-relative-path=True
+norm_train:../../../parakeet/exps/speedyspeech/train.py --train-metadata=train_data/mini_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/mini_BZNSYP/dev/norm/metadata.jsonl --config=../../../examples/csmsc/tts2/conf/default.yaml --batch_size=32 --max_epoch=20 --num_snapshots=10 --output-dir=exp/default --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt --use-relative-path=True
 null:null
 null:null
 null:null
@@ -21,7 +21,7 @@ null:null
 null:null
 ##
 ===========================eval_params===========================
-eval:../../examples/speedyspeech/baker/synthesize_e2e.py --speedyspeech-config=../../examples/speedyspeech/baker/conf/default.yaml --speedyspeech-checkpoint=exp/default/checkpoints/snapshot_iter_20.pdz --speedyspeech-stat=train_data/mini_BZNSYP/train/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../examples/speedyspeech/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt
+eval:../../../parakeet/exps/speedyspeech/synthesize_e2e.py --speedyspeech-config=../../../examples/csmsc/tts2/conf/default.yaml --speedyspeech-checkpoint=exp/default/checkpoints/snapshot_iter_20.pdz --speedyspeech-stat=train_data/mini_BZNSYP/train/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../../parakeet/exps/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt
 null:null
 ##
 ===========================infer_params===========================
@@ -37,7 +37,7 @@ null:null
 null:null
 null:null
 null:null
-inference:../../examples/speedyspeech/baker/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../examples/speedyspeech/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
+inference:../../../parakeet/exps/speedyspeech/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../../parakeet/exps/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
 null:null
 null:null
 null:null

tests/chains/speedyspeech/speedyspeech_params_lite_single_gpu.txt

@@ -13,7 +13,7 @@ null:null
 null:null
 ##
 trainer:norm_train
-norm_train:../../examples/speedyspeech/train.py --train-metadata=train_data/mini_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/mini_BZNSYP/dev/norm/metadata.jsonl --config=../../examples/speedyspeech/baker/conf/default.yaml --batch_size=32 --max_epoch=10 --num_snapshots=10 --output-dir=exp/default --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt --use-relative-path=True
+norm_train:../../../parakeet/exps/speedyspeech/train.py --train-metadata=train_data/mini_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/mini_BZNSYP/dev/norm/metadata.jsonl --config=../../../examples/csmsc/tts2/conf/default.yaml --batch_size=32 --max_epoch=10 --num_snapshots=10 --output-dir=exp/default --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt --use-relative-path=True
 null:null
 null:null
 null:null
@@ -21,7 +21,7 @@ null:null
 null:null
 ##
 ===========================eval_params===========================
-eval:../../examples/speedyspeech/baker/synthesize_e2e.py --speedyspeech-config=../../examples/speedyspeech/baker/conf/default.yaml --speedyspeech-checkpoint=exp/default/checkpoints/snapshot_iter_30.pdz --speedyspeech-stat=train_data/mini_BZNSYP/train/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../examples/speedyspeech/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt
+eval:../../../parakeet/exps/speedyspeech/synthesize_e2e.py --speedyspeech-config=../../../examples/csmsc/tts2/conf/default.yaml --speedyspeech-checkpoint=exp/default/checkpoints/snapshot_iter_30.pdz --speedyspeech-stat=train_data/mini_BZNSYP/train/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../../parakeet/exps/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt
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 ===========================infer_params===========================
@@ -37,7 +37,7 @@ null:null
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-inference:../../examples/speedyspeech/baker/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../examples/speedyspeech/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
+inference:../../../parakeet/exps/speedyspeech/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../../parakeet/exps/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
 --use_gpu:True
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tests/chains/speedyspeech/speedyspeech_params_whole_multi_gpu.txt

@@ -13,7 +13,7 @@ null:null
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 ##
 trainer:norm_train
-norm_train:../../examples/speedyspeech/train.py --train-metadata=train_data/processed_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/processed_BZNSYP/dev/norm/metadata.jsonl --config=../../examples/speedyspeech/baker/conf/default.yaml --output-dir=exp/whole --phones-dict=train_data/processed_BZNSYP/phone_id_map.txt --tones-dict=train_data/processed_BZNSYP/tone_id_map.txt --use-relative-path=True
+norm_train:../../../parakeet/exps/speedyspeech/train.py --train-metadata=train_data/processed_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/processed_BZNSYP/dev/norm/metadata.jsonl --config=../../../examples/csmsc/tts2/conf/default.yaml --output-dir=exp/whole --phones-dict=train_data/processed_BZNSYP/phone_id_map.txt --tones-dict=train_data/processed_BZNSYP/tone_id_map.txt --use-relative-path=True
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@@ -21,7 +21,7 @@ null:null
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 ##
 ===========================eval_params===========================
-eval:../../examples/speedyspeech/baker/synthesize_e2e.py --speedyspeech-config=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/default.yaml --speedyspeech-checkpoint=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/snapshot_iter_11400.pdz --speedyspeech-stat=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../examples/speedyspeech/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/tone_id_map.txt
+eval:../../../parakeet/exps/speedyspeech/synthesize_e2e.py --speedyspeech-config=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/default.yaml --speedyspeech-checkpoint=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/snapshot_iter_11400.pdz --speedyspeech-stat=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../../parakeet/exps/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/tone_id_map.txt
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 ===========================infer_params===========================
@@ -37,7 +37,7 @@ null:null
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-inference:../../examples/speedyspeech/baker/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../examples/speedyspeech/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
+inference:../../../parakeet/exps/speedyspeech/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../../parakeet/exps/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
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tests/chains/speedyspeech/speedyspeech_params_whole_single_gpu.txt

@@ -13,7 +13,7 @@ null:null
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 ##
 trainer:norm_train
-norm_train:../../examples/speedyspeech/train.py --train-metadata=train_data/processed_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/processed_BZNSYP/dev/norm/metadata.jsonl --config=../../examples/speedyspeech/baker/conf/default.yaml --output-dir=exp/whole --phones-dict=train_data/processed_BZNSYP/phone_id_map.txt --tones-dict=train_data/processed_BZNSYP/tone_id_map.txt --use-relative-path=True
+norm_train:../../../parakeet/exps/speedyspeech/train.py --train-metadata=train_data/processed_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/processed_BZNSYP/dev/norm/metadata.jsonl --config=../../../examples/csmsc/tts2/conf/default.yaml --output-dir=exp/whole --phones-dict=train_data/processed_BZNSYP/phone_id_map.txt --tones-dict=train_data/processed_BZNSYP/tone_id_map.txt --use-relative-path=True
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@@ -21,7 +21,7 @@ null:null
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 ##
 ===========================eval_params===========================
-eval:../../examples/speedyspeech/baker/synthesize_e2e.py --speedyspeech-config=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/default.yaml --speedyspeech-checkpoint=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/snapshot_iter_11400.pdz --speedyspeech-stat=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../examples/speedyspeech/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/tone_id_map.txt
+eval:../../../parakeet/exps/speedyspeech/synthesize_e2e.py --speedyspeech-config=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/default.yaml --speedyspeech-checkpoint=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/snapshot_iter_11400.pdz --speedyspeech-stat=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../../parakeet/exps/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/tone_id_map.txt
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 ===========================infer_params===========================
@@ -37,7 +37,7 @@ null:null
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-inference:../../examples/speedyspeech/baker/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../examples/speedyspeech/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
+inference:../../../parakeet/exps/speedyspeech/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../../parakeet/exps/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
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