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144 lines
4.4 KiB
144 lines
4.4 KiB
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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format ref/hyp file for `utt text` format to compute CER/WER/MER.
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norm:
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BAC009S0764W0196 明确了发展目标和重点任务
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BAC009S0764W0186 实现我国房地产市场的平稳运行
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sclite:
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加大对结构机械化环境和收集谈控机制力度(BAC009S0906W0240.wav)
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河南省新乡市丰秋县刘光镇政府东五零左右(BAC009S0770W0441.wav)
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"""
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import argparse
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import jsonlines
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from paddlespeech.utils.argparse import print_arguments
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def transform_hyp(origin, trans, trans_sclite):
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"""
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Args:
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origin: The input json file which contains the model output
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trans: The output file for caculate CER/WER
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trans_sclite: The output file for caculate CER/WER using sclite
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"""
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input_dict = {}
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with open(origin, "r+", encoding="utf8") as f:
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for item in jsonlines.Reader(f):
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input_dict[item["utt"]] = item["hyps"][0]
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if trans:
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with open(trans, "w+", encoding="utf8") as f:
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for key in input_dict.keys():
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f.write(key + " " + input_dict[key] + "\n")
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print(f"transform_hyp output: {trans}")
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if trans_sclite:
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with open(trans_sclite, "w+") as f:
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for key in input_dict.keys():
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line = input_dict[key] + "(" + key + ".wav" + ")" + "\n"
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f.write(line)
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print(f"transform_hyp output: {trans_sclite}")
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def transform_ref(origin, trans, trans_sclite):
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"""
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Args:
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origin: The input json file which contains the model output
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trans: The output file for caculate CER/WER
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trans_sclite: The output file for caculate CER/WER using sclite
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"""
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input_dict = {}
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with open(origin, "r", encoding="utf8") as f:
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for item in jsonlines.Reader(f):
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input_dict[item["utt"]] = item["text"]
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if trans:
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with open(trans, "w", encoding="utf8") as f:
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for key in input_dict.keys():
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f.write(key + " " + input_dict[key] + "\n")
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print(f"transform_hyp output: {trans}")
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if trans_sclite:
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with open(trans_sclite, "w") as f:
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for key in input_dict.keys():
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line = input_dict[key] + "(" + key + ".wav" + ")" + "\n"
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f.write(line)
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print(f"transform_hyp output: {trans_sclite}")
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def define_argparse():
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parser = argparse.ArgumentParser(
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prog='format ref/hyp file for compute CER/WER', add_help=True)
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parser.add_argument(
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'--origin_hyp', type=str, default="", help='origin hyp file')
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parser.add_argument(
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'--trans_hyp',
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type=str,
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default="",
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help='hyp file for caculating CER/WER')
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parser.add_argument(
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'--trans_hyp_sclite',
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type=str,
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default="",
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help='hyp file for caculating CER/WER by sclite')
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parser.add_argument(
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'--origin_ref', type=str, default="", help='origin ref file')
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parser.add_argument(
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'--trans_ref',
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type=str,
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default="",
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help='ref file for caculating CER/WER')
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parser.add_argument(
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'--trans_ref_sclite',
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type=str,
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default="",
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help='ref file for caculating CER/WER by sclite')
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parser_args = parser.parse_args()
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return parser_args
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def format_result(origin_hyp="",
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trans_hyp="",
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trans_hyp_sclite="",
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origin_ref="",
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trans_ref="",
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trans_ref_sclite=""):
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if origin_hyp:
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transform_hyp(
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origin=origin_hyp, trans=trans_hyp, trans_sclite=trans_hyp_sclite)
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if origin_ref:
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transform_ref(
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origin=origin_ref, trans=trans_ref, trans_sclite=trans_ref_sclite)
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def main():
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args = define_argparse()
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print_arguments(args, globals())
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format_result(**vars(args))
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if __name__ == "__main__":
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main()
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