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.
97 lines
3.3 KiB
97 lines
3.3 KiB
3 years ago
|
#!/usr/bin/env python3
|
||
|
|
# encoding: utf-8
|
||
|
|
# Copyright 2017 Johns Hopkins University (Shinji Watanabe)
|
||
|
|
# 2018 Xuankai Chang (Shanghai Jiao Tong University)
|
||
|
|
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
|
||
|
|
import argparse
|
||
|
|
import json
|
||
|
|
import logging
|
||
|
|
import sys
|
||
|
|
|
||
|
|
import jsonlines
|
||
|
|
from utility import get_commandline_args
|
||
|
|
|
||
|
|
|
||
|
|
def get_parser():
|
||
|
|
parser = argparse.ArgumentParser(
|
||
|
|
description="convert a json to a transcription file with a token dictionary",
|
||
|
|
formatter_class=argparse.ArgumentDefaultsHelpFormatter, )
|
||
|
|
parser.add_argument("json", type=str, help="jsonlines files")
|
||
|
|
parser.add_argument("dict", type=str, help="dict, not used.")
|
||
|
|
parser.add_argument(
|
||
|
|
"--num-spkrs", type=int, default=1, help="number of speakers")
|
||
|
|
parser.add_argument(
|
||
|
|
"--refs", type=str, nargs="+", help="ref for all speakers")
|
||
|
|
parser.add_argument(
|
||
|
|
"--hyps", type=str, nargs="+", help="hyp for all outputs")
|
||
|
|
return parser
|
||
|
|
|
||
|
|
|
||
|
|
def main(args):
|
||
|
|
args = get_parser().parse_args(args)
|
||
|
|
convert(args.json, args.dict, args.refs, args.hyps, args.num_spkrs)
|
||
|
|
|
||
|
|
|
||
|
|
def convert(jsonf, dic, refs, hyps, num_spkrs=1):
|
||
|
|
n_ref = len(refs)
|
||
|
|
n_hyp = len(hyps)
|
||
|
|
assert n_ref == n_hyp
|
||
|
|
assert n_ref == num_spkrs
|
||
|
|
|
||
|
|
# logging info
|
||
|
|
logfmt = "%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s"
|
||
|
|
logging.basicConfig(level=logging.INFO, format=logfmt)
|
||
|
|
logging.info(get_commandline_args())
|
||
|
|
|
||
|
|
logging.info("reading %s", jsonf)
|
||
|
|
with jsonlines.open(jsonf, "r") as f:
|
||
|
|
j = [item for item in f]
|
||
|
|
|
||
|
|
logging.info("reading %s", dic)
|
||
|
|
with open(dic, "r") as f:
|
||
|
|
dictionary = f.readlines()
|
||
|
|
char_list = [entry.split(" ")[0] for entry in dictionary]
|
||
|
|
char_list.insert(0, "<blank>")
|
||
|
|
char_list.append("<eos>")
|
||
|
|
|
||
|
|
for ns in range(num_spkrs):
|
||
|
|
hyp_file = open(hyps[ns], "w")
|
||
|
|
ref_file = open(refs[ns], "w")
|
||
|
|
|
||
|
|
for x in j:
|
||
|
|
# recognition hypothesis
|
||
|
|
if num_spkrs == 1:
|
||
|
|
#seq = [char_list[int(i)] for i in x['hyps_tokenid'][0]]
|
||
|
|
seq = x['hyps'][0]
|
||
|
|
else:
|
||
|
|
seq = [char_list[int(i)] for i in x['hyps_tokenid'][ns]]
|
||
|
|
# In the recognition hypothesis,
|
||
|
|
# the <eos> symbol is usually attached in the last part of the sentence
|
||
|
|
# and it is removed below.
|
||
|
|
#hyp_file.write(" ".join(seq).replace("<eos>", ""))
|
||
|
|
hyp_file.write(seq.replace("<eos>", ""))
|
||
|
|
# spk-uttid
|
||
|
|
hyp_file.write(" (" + x["utt"] + ")\n")
|
||
|
|
|
||
|
|
# reference
|
||
|
|
if num_spkrs == 1:
|
||
|
|
seq = x["refs"][0]
|
||
|
|
else:
|
||
|
|
seq = x['refs'][ns]
|
||
|
|
# Unlike the recognition hypothesis,
|
||
|
|
# the reference is directly generated from a token without dictionary
|
||
|
|
# to avoid to include <unk> symbols in the reference to make scoring normal.
|
||
|
|
# The detailed discussion can be found at
|
||
|
|
# https://github.com/espnet/espnet/issues/993
|
||
|
|
# ref_file.write(
|
||
|
|
# seq + " (" + j["utts"][x]["utt2spk"].replace("-", "_") + "-" + x + ")\n"
|
||
|
|
# )
|
||
|
|
ref_file.write(seq + " (" + x['utt'] + ")\n")
|
||
|
|
|
||
|
|
hyp_file.close()
|
||
|
|
ref_file.close()
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == "__main__":
|
||
|
|
main(sys.argv[1:])
|