fix sytle

egs/wenetspeech/ASR/local/make_syball_lexicon.py

@@ -1,43 +0,0 @@
-#!/usr/bin/env python3
-
-# Copyright 2021 Xiaomi Corporation (Author: Pingfeng Luo)
-import argparse
-import re
-from pathlib import Path
-from typing import Dict, List
-from pypinyin import pinyin, lazy_pinyin, Style
-
-def get_args():
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--lexicon", type=str, help="The input lexicon file.")
-    return parser.parse_args()
-
-
-def process_line(
-    line: str
-) -> None:
-    """
-    Args:
-      line:
-        A line of transcript consisting of space(s) separated words.
-    Returns:
-      Return None.
-    """
-    char = line.strip().split()[0]
-    syllables = pinyin(char, style=Style.TONE3, heteronym=True)
-    syllables = ''.join(str(syllables[0][:]))
-    for s in syllables.split(',') :
-        print("{} {}".format(char, re.sub(r'[]', '', s)))
-
-
-def main():
-    args = get_args()
-    assert Path(args.lexicon).is_file()
-
-    with open(args.lexicon) as f:
-        for line in f:
-            process_line(line=line)
-
-
-if __name__ == "__main__":
-    main()

egs/wenetspeech/ASR/local/text2token.py

@@ -40,7 +40,8 @@ def get_parser():
     parser.add_argument(
         "--skip-ncols", "-s", default=0, type=int, help="skip first n columns"
     )
-    parser.add_argument("--space", default="<space>", type=str, help="space symbol")
+    parser.add_argument("--space", default="<space>", type=str,
+                        help="space symbol")
     parser.add_argument(
         "--non-lang-syms",
         "-l",
@@ -48,19 +49,15 @@ def get_parser():
         type=str,
         help="list of non-linguistic symobles, e.g., <NOISE> etc.",
     )
-    parser.add_argument("text", type=str, default=False, nargs="?", help="input text")
+    parser.add_argument("text", type=str, default=False, nargs="?",
+                        help="input text")
     parser.add_argument(
         "--trans_type",
         "-t",
         type=str,
         default="char",
         choices=["char", "phn"],
-        help="""Transcript type. char/phn. e.g., for TIMIT FADG0_SI1279 -
+        help="""Transcript type. char/phn""",
-                        If trans_type is char,
-                        read from SI1279.WRD file -> "bricks are an alternative"
-                        Else if trans_type is phn,
-                        read from SI1279.PHN file -> "sil b r ih sil k s aa r er n aa l
-                        sil t er n ih sil t ih v sil" """,
     )
     return parser
 
@@ -78,7 +75,9 @@ def main():
     if args.text:
         f = codecs.open(args.text, encoding="utf-8")
     else:
-        f = codecs.getreader("utf-8")(sys.stdin if is_python2 else sys.stdin.buffer)
+        f = codecs.getreader("utf-8")(
+                sys.stdin if is_python2 else sys.stdin.buffer
+            )
 
     sys.stdout = codecs.getwriter("utf-8")(
         sys.stdout if is_python2 else sys.stdout.buffer

egs/wenetspeech/ASR/transducer_stateless/decode.py

@@ -40,6 +40,7 @@ from icefall.utils import (
     setup_logger,
     store_transcripts,
     write_error_stats,
+    str2bool,
 )
 
 
@@ -108,6 +109,16 @@ def get_parser():
         default=3,
         help="Maximum number of symbols per frame",
     )
+    parser.add_argument(
+        "--export",
+        type=str2bool,
+        default=False,
+        help="""When enabled, the averaged model is saved to
+        conformer_ctc/exp/pretrained.pt. Note: only model.state_dict() is saved.
+        pretrained.pt contains a dict {"model": model.state_dict()},
+        which can be loaded by `icefall.checkpoint.load_checkpoint()`.
+        """,
+    )
 
     return parser
 
@@ -417,6 +428,13 @@ def main():
         model.to(device)
         model.load_state_dict(average_checkpoints(filenames, device=device))
 
+    if params.export:
+        logging.info(f"Export averaged model to {params.exp_dir}/pretrained.pt")
+        torch.save(
+            {"model": model.state_dict()}, f"{params.exp_dir}/pretrained.pt"
+        )
+        return
+
     model.to(device)
     model.eval()
     model.device = device
@@ -427,7 +445,9 @@ def main():
     wenetspeech = WenetSpeechDataModule(args)
 
     test_net_dl = wenetspeech.test_dataloaders(wenetspeech.test_net_cuts())
-    test_meetting_dl = wenetspeech.test_dataloaders(wenetspeech.test_meetting_cuts())
+    test_meetting_dl = wenetspeech.test_dataloaders(
+                           wenetspeech.test_meetting_cuts()
+                       )
 
     test_sets = ["TEST_NET", "TEST_MEETTING"]
     test_dls = [test_net_dl, test_meetting_dl]