icefall/egs/libriheavy/TTS/local/attach_speech_tokens.py
yfyeung f90c3ae3ec add extract speech tokens
update prepare.sh

update

update

add attach_speech_tokens
2024-11-05 02:20:28 -08:00

82 lines
2.5 KiB
Python
Executable File

#!/usr/bin/env python3
# Copyright 2024 Xiaomi Corp. (authors: Yifan Yang)
#
# See ../../../../LICENSE for clarification regarding multiple authors
#
# 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 gzip
import json
import logging
import os
from pathlib import Path
from tqdm import tqdm
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--subset",
type=str,
default="small",
)
return parser.parse_args()
def attach_speech_tokens(args):
assert args.subset in ("small", "medium", "large"), f"{args.subset}"
src_dir = Path("data/manifests")
output_dir = "data/tokens"
output_dir = Path(output_dir)
assert output_dir.exists(), f"{output_dir} does not exist!"
prefix = "libriheavy"
cuts_path = output_dir / f"{prefix}_cuts_{args.subset}.jsonl.gz"
if cuts_path.is_file():
logging.info(f"{cuts_path} exists - skipping")
return
manifests_path = src_dir / f"{prefix}_cuts_{args.subset}.jsonl.gz"
assert manifests_path.is_file(), f"{manifests_path} does not exist!"
tokens_path = output_dir / f"{prefix}_{args.subset}.jsonl.gz"
assert tokens_path.is_file(), f"{tokens_path} does not exist!"
id2tokens = {}
with gzip.open(tokens_path, "r") as fin:
for line in fin:
line = json.loads(line)
id2tokens[line["key"]] = " ".join(map(str, line["code"]))
with gzip.open(manifests_path, "r") as fin, gzip.open(cuts_path, "w") as fout:
for cut in tqdm(fin, desc="Processing"):
cut = json.loads(cut)
if cut["id"] in id2tokens:
cut["custom"] = {"tokens": id2tokens[cut["id"]]}
fout.write((json.dumps(cut) + "\n").encode())
if __name__ == "__main__":
formatter = "%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
logging.basicConfig(format=formatter, level=logging.INFO)
args = get_args()
logging.info(vars(args))
attach_speech_tokens(args)