You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
107 lines
3.7 KiB
107 lines
3.7 KiB
# Copyright (c) 2022 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 jsonlines
|
|
|
|
|
|
def trans_hyp(origin_hyp, trans_hyp=None, trans_hyp_sclite=None):
|
|
"""
|
|
Args:
|
|
origin_hyp: The input json file which contains the model output
|
|
trans_hyp: The output file for caculate CER/WER
|
|
trans_hyp_sclite: The output file for caculate CER/WER using sclite
|
|
"""
|
|
input_dict = {}
|
|
|
|
with open(origin_hyp, "r+", encoding="utf8") as f:
|
|
for item in jsonlines.Reader(f):
|
|
input_dict[item["utt"]] = item["hyps"][0]
|
|
if trans_hyp is not None:
|
|
with open(trans_hyp, "w+", encoding="utf8") as f:
|
|
for key in input_dict.keys():
|
|
f.write(key + " " + input_dict[key] + "\n")
|
|
if trans_hyp_sclite is not None:
|
|
with open(trans_hyp_sclite, "w+") as f:
|
|
for key in input_dict.keys():
|
|
line = input_dict[key] + "(" + key + ".wav" + ")" + "\n"
|
|
f.write(line)
|
|
|
|
|
|
def trans_ref(origin_ref, trans_ref=None, trans_ref_sclite=None):
|
|
"""
|
|
Args:
|
|
origin_hyp: The input json file which contains the model output
|
|
trans_hyp: The output file for caculate CER/WER
|
|
trans_hyp_sclite: The output file for caculate CER/WER using sclite
|
|
"""
|
|
input_dict = {}
|
|
|
|
with open(origin_ref, "r", encoding="utf8") as f:
|
|
for item in jsonlines.Reader(f):
|
|
input_dict[item["utt"]] = item["text"]
|
|
if trans_ref is not None:
|
|
with open(trans_ref, "w", encoding="utf8") as f:
|
|
for key in input_dict.keys():
|
|
f.write(key + " " + input_dict[key] + "\n")
|
|
|
|
if trans_ref_sclite is not None:
|
|
with open(trans_ref_sclite, "w") as f:
|
|
for key in input_dict.keys():
|
|
line = input_dict[key] + "(" + key + ".wav" + ")" + "\n"
|
|
f.write(line)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
parser = argparse.ArgumentParser(
|
|
prog='format hyp file for compute CER/WER', add_help=True)
|
|
parser.add_argument(
|
|
'--origin_hyp', type=str, default=None, help='origin hyp file')
|
|
parser.add_argument(
|
|
'--trans_hyp',
|
|
type=str,
|
|
default=None,
|
|
help='hyp file for caculating CER/WER')
|
|
parser.add_argument(
|
|
'--trans_hyp_sclite',
|
|
type=str,
|
|
default=None,
|
|
help='hyp file for caculating CER/WER by sclite')
|
|
|
|
parser.add_argument(
|
|
'--origin_ref', type=str, default=None, help='origin ref file')
|
|
parser.add_argument(
|
|
'--trans_ref',
|
|
type=str,
|
|
default=None,
|
|
help='ref file for caculating CER/WER')
|
|
parser.add_argument(
|
|
'--trans_ref_sclite',
|
|
type=str,
|
|
default=None,
|
|
help='ref file for caculating CER/WER by sclite')
|
|
parser_args = parser.parse_args()
|
|
|
|
if parser_args.origin_hyp is not None:
|
|
trans_hyp(
|
|
origin_hyp=parser_args.origin_hyp,
|
|
trans_hyp=parser_args.trans_hyp,
|
|
trans_hyp_sclite=parser_args.trans_hyp_sclite, )
|
|
|
|
if parser_args.origin_ref is not None:
|
|
trans_ref(
|
|
origin_ref=parser_args.origin_ref,
|
|
trans_ref=parser_args.trans_ref,
|
|
trans_ref_sclite=parser_args.trans_ref_sclite, )
|