move link_wav.py to paddlespeech/t2s/exps/gan_vocoder/

move link_wav.py to paddlespeech/t2s/exps/gan_vocoder/ so that different vocoders can use one script.

examples/csmsc/voc3/finetune.sh

@@ -21,7 +21,7 @@ if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
 fi
 
 if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
-    python3 local/link_wav.py \
+    python3 ${MAIN_ROOT}/paddlespeech/t2s/exps/gan_vocoder/link_wav.py \
         --old-dump-dir=dump \
         --dump-dir=dump_finetune
 fi

examples/csmsc/voc3/local/link_wav.py

-# Copyright (c) 2021 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.
-import argparse
-import os
-from operator import itemgetter
-from pathlib import Path
-
-import jsonlines
-import numpy as np
-
-
-def main():
-    # parse config and args
-    parser = argparse.ArgumentParser(
-        description="Preprocess audio and then extract features .")
-
-    parser.add_argument(
-        "--old-dump-dir",
-        default=None,
-        type=str,
-        help="directory to dump feature files.")
-    parser.add_argument(
-        "--dump-dir",
-        type=str,
-        required=True,
-        help="directory to finetune dump feature files.")
-    args = parser.parse_args()
-
-    old_dump_dir = Path(args.old_dump_dir).expanduser()
-    old_dump_dir = old_dump_dir.resolve()
-    dump_dir = Path(args.dump_dir).expanduser()
-    # use absolute path
-    dump_dir = dump_dir.resolve()
-    dump_dir.mkdir(parents=True, exist_ok=True)
-
-    assert old_dump_dir.is_dir()
-    assert dump_dir.is_dir()
-
-    for sub in ["train", "dev", "test"]:
-        # 把 old_dump_dir 里面的 *-wave.npy 软连接到 dump_dir 的对应位置
-        output_dir = dump_dir / sub
-        output_dir.mkdir(parents=True, exist_ok=True)
-        results = []
-        for name in os.listdir(output_dir / "raw"):
-            # 003918_feats.npy
-            utt_id = name.split("_")[0]
-            mel_path = output_dir / ("raw/" + name)
-            gen_mel = np.load(mel_path)
-            wave_name = utt_id + "_wave.npy"
-            wav = np.load(old_dump_dir / sub / ("raw/" + wave_name))
-            os.symlink(old_dump_dir / sub / ("raw/" + wave_name),
-                       output_dir / ("raw/" + wave_name))
-            num_sample = wav.shape[0]
-            num_frames = gen_mel.shape[0]
-            wav_path = output_dir / ("raw/" + wave_name)
-
-            record = {
-                "utt_id": utt_id,
-                "num_samples": num_sample,
-                "num_frames": num_frames,
-                "feats": str(mel_path),
-                "wave": str(wav_path),
-            }
-            results.append(record)
-
-        results.sort(key=itemgetter("utt_id"))
-
-        with jsonlines.open(output_dir / "raw/metadata.jsonl", 'w') as writer:
-            for item in results:
-                writer.write(item)
-
-
-if __name__ == "__main__":
-    main()

examples/csmsc/voc5/finetune.sh

@@ -21,7 +21,7 @@ if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
 fi
 
 if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
-    python3 local/link_wav.py \
+    python3 ${MAIN_ROOT}/paddlespeech/t2s/exps/gan_vocoder/link_wav.py \
         --old-dump-dir=dump \
         --dump-dir=dump_finetune
 fi

examples/csmsc/voc5/local/link_wav.py → paddlespeech/t2s/exps/gan_vocoder/link_wav.py

@@ -54,7 +54,6 @@ def main():
         results = []
         files = os.listdir(output_dir / "raw")
         for name in tqdm(files):
-            # 003918_feats.npy
             utt_id = name.split("_feats.npy")[0]
             mel_path = output_dir / ("raw/" + name)
             gen_mel = np.load(mel_path)