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1d8cc4a5
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DeepSpeech
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1d8cc4a5
编写于
6月 20, 2017
作者:
X
Xinghai Sun
浏览文件
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浏览文件
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电子邮件补丁
差异文件
Add multi-threading support for DS2 data generator.
上级
a5dcd23b
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
40 addition
and
6 deletion
+40
-6
data_utils/data.py
data_utils/data.py
+11
-3
data_utils/speech.py
data_utils/speech.py
+1
-1
infer.py
infer.py
+7
-1
train.py
train.py
+21
-1
未找到文件。
data_utils/data.py
浏览文件 @
1d8cc4a5
...
@@ -44,6 +44,8 @@ class DataGenerator(object):
...
@@ -44,6 +44,8 @@ class DataGenerator(object):
:types max_freq: None|float
:types max_freq: None|float
:param specgram_type: Specgram feature type. Options: 'linear'.
:param specgram_type: Specgram feature type. Options: 'linear'.
:type specgram_type: str
:type specgram_type: str
:param num_threads: Number of CPU threads for processing data.
:type num_threads: int
:param random_seed: Random seed.
:param random_seed: Random seed.
:type random_seed: int
:type random_seed: int
"""
"""
...
@@ -58,6 +60,7 @@ class DataGenerator(object):
...
@@ -58,6 +60,7 @@ class DataGenerator(object):
window_ms
=
20.0
,
window_ms
=
20.0
,
max_freq
=
None
,
max_freq
=
None
,
specgram_type
=
'linear'
,
specgram_type
=
'linear'
,
num_threads
=
12
,
random_seed
=
0
):
random_seed
=
0
):
self
.
_max_duration
=
max_duration
self
.
_max_duration
=
max_duration
self
.
_min_duration
=
min_duration
self
.
_min_duration
=
min_duration
...
@@ -70,6 +73,7 @@ class DataGenerator(object):
...
@@ -70,6 +73,7 @@ class DataGenerator(object):
stride_ms
=
stride_ms
,
stride_ms
=
stride_ms
,
window_ms
=
window_ms
,
window_ms
=
window_ms
,
max_freq
=
max_freq
)
max_freq
=
max_freq
)
self
.
_num_threads
=
num_threads
self
.
_rng
=
random
.
Random
(
random_seed
)
self
.
_rng
=
random
.
Random
(
random_seed
)
self
.
_epoch
=
0
self
.
_epoch
=
0
...
@@ -207,10 +211,14 @@ class DataGenerator(object):
...
@@ -207,10 +211,14 @@ class DataGenerator(object):
def
reader
():
def
reader
():
for
instance
in
manifest
:
for
instance
in
manifest
:
yield
self
.
_process_utterance
(
instance
[
"audio_filepath"
],
yield
instance
instance
[
"text"
])
return
reader
def
mapper
(
instance
):
return
self
.
_process_utterance
(
instance
[
"audio_filepath"
],
instance
[
"text"
])
return
paddle
.
reader
.
xmap_readers
(
mapper
,
reader
,
self
.
_num_threads
,
1024
,
order
=
True
)
def
_padding_batch
(
self
,
batch
,
padding_to
=-
1
,
flatten
=
False
):
def
_padding_batch
(
self
,
batch
,
padding_to
=-
1
,
flatten
=
False
):
"""
"""
...
...
data_utils/speech.py
浏览文件 @
1d8cc4a5
...
@@ -94,7 +94,7 @@ class SpeechSegment(AudioSegment):
...
@@ -94,7 +94,7 @@ class SpeechSegment(AudioSegment):
return
cls
(
samples
,
sample_rate
,
transcripts
)
return
cls
(
samples
,
sample_rate
,
transcripts
)
@
classmethod
@
classmethod
def
slice_from_file
(
cls
,
filepath
,
start
=
None
,
end
=
None
,
transcript
):
def
slice_from_file
(
cls
,
filepath
,
transcript
,
start
=
None
,
end
=
None
):
"""Loads a small section of an speech without having to load
"""Loads a small section of an speech without having to load
the entire file into the memory which can be incredibly wasteful.
the entire file into the memory which can be incredibly wasteful.
...
...
infer.py
浏览文件 @
1d8cc4a5
...
@@ -38,6 +38,11 @@ parser.add_argument(
...
@@ -38,6 +38,11 @@ parser.add_argument(
default
=
True
,
default
=
True
,
type
=
distutils
.
util
.
strtobool
,
type
=
distutils
.
util
.
strtobool
,
help
=
"Use gpu or not. (default: %(default)s)"
)
help
=
"Use gpu or not. (default: %(default)s)"
)
parser
.
add_argument
(
"--num_threads_data"
,
default
=
12
,
type
=
int
,
help
=
"Number of cpu threads for preprocessing data. (default: %(default)s)"
)
parser
.
add_argument
(
parser
.
add_argument
(
"--mean_std_filepath"
,
"--mean_std_filepath"
,
default
=
'mean_std.npz'
,
default
=
'mean_std.npz'
,
...
@@ -67,7 +72,8 @@ def infer():
...
@@ -67,7 +72,8 @@ def infer():
data_generator
=
DataGenerator
(
data_generator
=
DataGenerator
(
vocab_filepath
=
args
.
vocab_filepath
,
vocab_filepath
=
args
.
vocab_filepath
,
mean_std_filepath
=
args
.
mean_std_filepath
,
mean_std_filepath
=
args
.
mean_std_filepath
,
augmentation_config
=
'{}'
)
augmentation_config
=
'{}'
,
num_threads
=
args
.
num_threads_data
)
# create network config
# create network config
# paddle.data_type.dense_array is used for variable batch input.
# paddle.data_type.dense_array is used for variable batch input.
...
...
train.py
浏览文件 @
1d8cc4a5
...
@@ -52,6 +52,18 @@ parser.add_argument(
...
@@ -52,6 +52,18 @@ parser.add_argument(
default
=
True
,
default
=
True
,
type
=
distutils
.
util
.
strtobool
,
type
=
distutils
.
util
.
strtobool
,
help
=
"Use sortagrad or not. (default: %(default)s)"
)
help
=
"Use sortagrad or not. (default: %(default)s)"
)
parser
.
add_argument
(
"--max_duration"
,
default
=
100.0
,
type
=
float
,
help
=
"Audios with duration larger than this will be discarded. "
"(default: %(default)s)"
)
parser
.
add_argument
(
"--min_duration"
,
default
=
0.0
,
type
=
float
,
help
=
"Audios with duration smaller than this will be discarded. "
"(default: %(default)s)"
)
parser
.
add_argument
(
parser
.
add_argument
(
"--shuffle_method"
,
"--shuffle_method"
,
default
=
'instance_shuffle'
,
default
=
'instance_shuffle'
,
...
@@ -63,6 +75,11 @@ parser.add_argument(
...
@@ -63,6 +75,11 @@ parser.add_argument(
default
=
4
,
default
=
4
,
type
=
int
,
type
=
int
,
help
=
"Trainer number. (default: %(default)s)"
)
help
=
"Trainer number. (default: %(default)s)"
)
parser
.
add_argument
(
"--num_threads_data"
,
default
=
12
,
type
=
int
,
help
=
"Number of cpu threads for preprocessing data. (default: %(default)s)"
)
parser
.
add_argument
(
parser
.
add_argument
(
"--mean_std_filepath"
,
"--mean_std_filepath"
,
default
=
'mean_std.npz'
,
default
=
'mean_std.npz'
,
...
@@ -107,7 +124,10 @@ def train():
...
@@ -107,7 +124,10 @@ def train():
return
DataGenerator
(
return
DataGenerator
(
vocab_filepath
=
args
.
vocab_filepath
,
vocab_filepath
=
args
.
vocab_filepath
,
mean_std_filepath
=
args
.
mean_std_filepath
,
mean_std_filepath
=
args
.
mean_std_filepath
,
augmentation_config
=
args
.
augmentation_config
)
augmentation_config
=
args
.
augmentation_config
,
max_duration
=
args
.
max_duration
,
min_duration
=
args
.
min_duration
,
num_threads
=
args
.
num_threads_data
)
train_generator
=
data_generator
()
train_generator
=
data_generator
()
test_generator
=
data_generator
()
test_generator
=
data_generator
()
...
...
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