1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
|
import os
import glob
import jiwer
from normalizers import EnglishTextNormalizer
def get_reference():
ref = {}
for path in glob.glob('LibriSpeech/*/*/*/*.trans.txt'):
with open(path) as fp:
for line in fp:
code, text = line.strip().split(" ", maxsplit=1)
ref [code] = text
return ref
def get_hypothesis():
hyp = {}
for path in glob.glob('LibriSpeech/*/*/*/*.flac.txt'):
with open(path) as fp:
text = fp.read().strip()
code = os.path.basename(path).replace('.flac.txt', '')
hyp[code] = text
return hyp
def get_codes():
codes = []
for path in glob.glob('LibriSpeech/*/*/*/*.flac'):
codes.append(os.path.basename(path).replace('.flac', ''))
return sorted(codes)
def main():
normalizer = EnglishTextNormalizer()
ref_orig = get_reference()
hyp_orig = get_hypothesis()
ref_clean = []
hyp_clean = []
for code in get_codes():
ref_clean.append(normalizer(ref_orig[code]))
hyp_clean.append(normalizer(hyp_orig[code]))
wer = jiwer.wer(ref_clean, hyp_clean)
print(f"WER: {wer * 100:.2f}%")
if __name__ == '__main__':
main()
|
