add more cli options

examples/speedyspeech/baker/compute_statistics.py

@@ -16,6 +16,7 @@
 import argparse
 import logging
 import os
+from pathlib import Path
 
 import numpy as np
 import yaml
@@ -45,10 +46,10 @@ def main():
     parser.add_argument(
         "--config", type=str, help="yaml format configuration file.")
     parser.add_argument(
-        "--dumpdir",
+        "--output",
         type=str,
-        help="directory to save statistics. if not provided, "
-        "stats will be saved in the above root directory. (default=None)")
+        help="path to save statistics. if not provided, "
+        "stats will be saved in the above root directory with name stats.npy")
     parser.add_argument(
         "--verbose",
         type=int,
@@ -80,10 +81,11 @@ def main():
         config.merge_from_file(args.config)
 
     # check directory existence
-    if args.dumpdir is None:
-        args.dumpdir = os.path.dirname(args.metadata)
-    if not os.path.exists(args.dumpdir):
-        os.makedirs(args.dumpdir)
+    if args.output is None:
+        args.output = Path(args.metadata).parent.with_name("stats.npy")
+    else:
+        args.output = Path(args.output)
+    args.output.parent.mkdir(parents=True, exist_ok=True)
 
     with jsonlines.open(args.metadata, 'r') as reader:
         metadata = list(reader)
@@ -100,10 +102,7 @@ def main():
         scaler.partial_fit(datum[args.field_name])
 
     stats = np.stack([scaler.mean_, scaler.scale_], axis=0)
-    np.save(
-        os.path.join(args.dumpdir, "stats.npy"),
-        stats.astype(np.float32),
-        allow_pickle=False)
+    np.save(str(args.output), stats.astype(np.float32), allow_pickle=False)
 
 
 if __name__ == "__main__":

examples/speedyspeech/baker/normalize.py

@@ -50,6 +50,13 @@ def main():
         help="directory to dump normalized feature files.")
     parser.add_argument(
         "--stats", type=str, required=True, help="statistics file.")
+    parser.add_argument(
+        "--phones",
+        type=str,
+        default="phones.txt",
+        help="phone vocabulary file.")
+    parser.add_argument(
+        "--tones", type=str, default="tones.txt", help="tone vocabulary file.")
     parser.add_argument(
         "--config", type=str, help="yaml format configuration file.")
     parser.add_argument(
@@ -100,10 +107,10 @@ def main():
     # from version 0.23.0, this information is needed
     scaler.n_features_in_ = scaler.mean_.shape[0]
 
-    with open("phones.txt", 'rt') as f:
+    with open(args.phones, 'rt') as f:
         phones = [line.strip() for line in f.readlines()]
 
-    with open("tones.txt", 'rt') as f:
+    with open(args.tones, 'rt') as f:
         tones = [line.strip() for line in f.readlines()]
     voc_phones = Vocab(phones, start_symbol=None, end_symbol=None)
     voc_tones = Vocab(tones, start_symbol=None, end_symbol=None)

examples/speedyspeech/baker/preprocess.sh

@@ -1,5 +1,5 @@
 python preprocess.py --rootdir=~/datasets/BZNSYP/ --dumpdir=dump --num_cpu=20
-python compute_statistics.py --metadata=dump/train/raw/metadata.jsonl --field-name="feats" --dumpdir=dump/train
+python compute_statistics.py --metadata=dump/train/raw/metadata.jsonl --field-name="feats" --output=dump/train/stats.npy
 
 python normalize.py --metadata=dump/train/raw/metadata.jsonl --dumpdir=dump/train/norm --stats=dump/train/stats.npy
 python normalize.py --metadata=dump/dev/raw/metadata.jsonl --dumpdir=dump/dev/norm --stats=dump/train/stats.npy

examples/speedyspeech/baker/speedyspeech_updater.py

@@ -62,7 +62,6 @@ class SpeedySpeechUpdater(StandardUpdater):
         loss.backward()
         optimizer.step()
 
-        # import pdb; pdb.set_trace()
         report("train/loss", float(loss))
         report("train/l1_loss", float(l1_loss))
         report("train/duration_loss", float(duration_loss))