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8977f185
编写于
10月 02, 2021
作者:
H
Hui Zhang
浏览文件
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电子邮件补丁
差异文件
close editdistance package format warning
上级
466672e1
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
5 addition
and
1 deletion
+5
-1
deepspeech/utils/error_rate.py
deepspeech/utils/error_rate.py
+4
-0
requirements.txt
requirements.txt
+1
-1
未找到文件。
deepspeech/utils/error_rate.py
浏览文件 @
8977f185
...
@@ -19,6 +19,8 @@ import numpy as np
...
@@ -19,6 +19,8 @@ import numpy as np
__all__
=
[
'word_errors'
,
'char_errors'
,
'wer'
,
'cer'
]
__all__
=
[
'word_errors'
,
'char_errors'
,
'wer'
,
'cer'
]
editdistance
.
eval
(
"a"
,
"b"
)
def
_levenshtein_distance
(
ref
,
hyp
):
def
_levenshtein_distance
(
ref
,
hyp
):
"""Levenshtein distance is a string metric for measuring the difference
"""Levenshtein distance is a string metric for measuring the difference
...
@@ -90,6 +92,7 @@ def word_errors(reference, hypothesis, ignore_case=False, delimiter=' '):
...
@@ -90,6 +92,7 @@ def word_errors(reference, hypothesis, ignore_case=False, delimiter=' '):
hyp_words
=
list
(
filter
(
None
,
hypothesis
.
split
(
delimiter
)))
hyp_words
=
list
(
filter
(
None
,
hypothesis
.
split
(
delimiter
)))
edit_distance
=
_levenshtein_distance
(
ref_words
,
hyp_words
)
edit_distance
=
_levenshtein_distance
(
ref_words
,
hyp_words
)
# `editdistance.eavl precision` less than `_levenshtein_distance`
# edit_distance = editdistance.eval(ref_words, hyp_words)
# edit_distance = editdistance.eval(ref_words, hyp_words)
return
float
(
edit_distance
),
len
(
ref_words
)
return
float
(
edit_distance
),
len
(
ref_words
)
...
@@ -121,6 +124,7 @@ def char_errors(reference, hypothesis, ignore_case=False, remove_space=False):
...
@@ -121,6 +124,7 @@ def char_errors(reference, hypothesis, ignore_case=False, remove_space=False):
hypothesis
=
join_char
.
join
(
list
(
filter
(
None
,
hypothesis
.
split
(
' '
))))
hypothesis
=
join_char
.
join
(
list
(
filter
(
None
,
hypothesis
.
split
(
' '
))))
edit_distance
=
_levenshtein_distance
(
reference
,
hypothesis
)
edit_distance
=
_levenshtein_distance
(
reference
,
hypothesis
)
# `editdistance.eavl precision` less than `_levenshtein_distance`
# edit_distance = editdistance.eval(reference, hypothesis)
# edit_distance = editdistance.eval(reference, hypothesis)
return
float
(
edit_distance
),
len
(
reference
)
return
float
(
edit_distance
),
len
(
reference
)
...
...
requirements.txt
浏览文件 @
8977f185
coverage
coverage
editdistance
gpustat
gpustat
jsonlines
jsonlines
kaldiio
kaldiio
...
@@ -19,4 +20,3 @@ tqdm
...
@@ -19,4 +20,3 @@ tqdm
typeguard
typeguard
visualdl
==2.2.0
visualdl
==2.2.0
yacs
yacs
editdistance
\ No newline at end of file
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