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5f4718fe
编写于
10月 20, 2022
作者:
W
WongLaw
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Merge branch 'develop' of
https://github.com/PaddlePaddle/PaddleSpeech
into rhy
yes
上级
067a72bb
68134c84
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
6 addition
and
27 deletion
+6
-27
docs/source/released_model.md
docs/source/released_model.md
+1
-1
paddlespeech/cli/asr/infer.py
paddlespeech/cli/asr/infer.py
+2
-2
paddlespeech/resource/model_alias.py
paddlespeech/resource/model_alias.py
+0
-1
paddlespeech/resource/pretrained_models.py
paddlespeech/resource/pretrained_models.py
+3
-23
未找到文件。
docs/source/released_model.md
浏览文件 @
5f4718fe
...
...
@@ -9,7 +9,7 @@ Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER |
[
Ds2 Online Aishell ASR0 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_online_aishell_fbank161_ckpt_0.2.1.model.tar.gz
)
| Aishell Dataset | Char-based | 491 MB | 2 Conv + 5 LSTM layers | 0.0666 |-| 151 h |
[
D2 Online Aishell ASR0
](
../../examples/aishell/asr0
)
| onnx/inference/python |
[
Ds2 Offline Aishell ASR0 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_offline_aishell_ckpt_1.0.1.model.tar.gz
)
| Aishell Dataset | Char-based | 1.4 GB | 2 Conv + 5 bidirectional LSTM layers| 0.0554 |-| 151 h |
[
Ds2 Offline Aishell ASR0
](
../../examples/aishell/asr0
)
| inference/python |
[
Conformer Online Wenetspeech ASR1 Model
](
https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz
)
| WenetSpeech Dataset | Char-based | 457 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.11 (test
\_
net) 0.1879 (test
\_
meeting) |-| 10000 h |- | python |
[
Conformer U2PP Online Wenetspeech ASR1 Model
](
https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_u2pp_wenetspeech_ckpt_1.
1.4
.model.tar.gz
)
| WenetSpeech Dataset | Char-based | 476 MB | Encoder:Conformer, Decoder:BiTransformer, Decoding method: Attention rescoring| 0.047198 (aishell test
\_
-1) 0.059212 (aishell test
\_
16) |-| 10000 h |- | python |
[
Conformer U2PP Online Wenetspeech ASR1 Model
](
https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_u2pp_wenetspeech_ckpt_1.
3.0
.model.tar.gz
)
| WenetSpeech Dataset | Char-based | 476 MB | Encoder:Conformer, Decoder:BiTransformer, Decoding method: Attention rescoring| 0.047198 (aishell test
\_
-1) 0.059212 (aishell test
\_
16) |-| 10000 h |- | python |
[
Conformer Online Aishell ASR1 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_chunk_conformer_aishell_ckpt_0.2.0.model.tar.gz
)
| Aishell Dataset | Char-based | 189 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.0544 |-| 151 h |
[
Conformer Online Aishell ASR1
](
../../examples/aishell/asr1
)
| python |
[
Conformer Offline Aishell ASR1 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_conformer_aishell_ckpt_1.0.1.model.tar.gz
)
| Aishell Dataset | Char-based | 189 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0460 |-| 151 h |
[
Conformer Offline Aishell ASR1
](
../../examples/aishell/asr1
)
| python |
[
Transformer Aishell ASR1 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_transformer_aishell_ckpt_0.1.1.model.tar.gz
)
| Aishell Dataset | Char-based | 128 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0523 || 151 h |
[
Transformer Aishell ASR1
](
../../examples/aishell/asr1
)
| python |
...
...
paddlespeech/cli/asr/infer.py
浏览文件 @
5f4718fe
...
...
@@ -52,7 +52,7 @@ class ASRExecutor(BaseExecutor):
self
.
parser
.
add_argument
(
'--model'
,
type
=
str
,
default
=
'conformer_u2pp_wenetspeech'
,
default
=
'conformer_u2pp_
online_
wenetspeech'
,
choices
=
[
tag
[:
tag
.
index
(
'-'
)]
for
tag
in
self
.
task_resource
.
pretrained_models
.
keys
()
...
...
@@ -470,7 +470,7 @@ class ASRExecutor(BaseExecutor):
@
stats_wrapper
def
__call__
(
self
,
audio_file
:
os
.
PathLike
,
model
:
str
=
'conformer_u2pp_wenetspeech'
,
model
:
str
=
'conformer_u2pp_
online_
wenetspeech'
,
lang
:
str
=
'zh'
,
sample_rate
:
int
=
16000
,
config
:
os
.
PathLike
=
None
,
...
...
paddlespeech/resource/model_alias.py
浏览文件 @
5f4718fe
...
...
@@ -25,7 +25,6 @@ model_alias = {
"deepspeech2online"
:
[
"paddlespeech.s2t.models.ds2:DeepSpeech2Model"
],
"conformer"
:
[
"paddlespeech.s2t.models.u2:U2Model"
],
"conformer_online"
:
[
"paddlespeech.s2t.models.u2:U2Model"
],
"conformer_u2pp"
:
[
"paddlespeech.s2t.models.u2:U2Model"
],
"conformer_u2pp_online"
:
[
"paddlespeech.s2t.models.u2:U2Model"
],
"transformer"
:
[
"paddlespeech.s2t.models.u2:U2Model"
],
"wenetspeech"
:
[
"paddlespeech.s2t.models.u2:U2Model"
],
...
...
paddlespeech/resource/pretrained_models.py
浏览文件 @
5f4718fe
...
...
@@ -68,32 +68,12 @@ asr_dynamic_pretrained_models = {
''
,
},
},
"conformer_u2pp_wenetspeech-zh-16k"
:
{
'1.1'
:
{
'url'
:
'https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_u2pp_wenetspeech_ckpt_1.1.3.model.tar.gz'
,
'md5'
:
'662b347e1d2131b7a4dc5398365e2134'
,
'cfg_path'
:
'model.yaml'
,
'ckpt_path'
:
'exp/chunk_conformer_u2pp/checkpoints/avg_10'
,
'model'
:
'exp/chunk_conformer_u2pp/checkpoints/avg_10.pdparams'
,
'params'
:
'exp/chunk_conformer_u2pp/checkpoints/avg_10.pdparams'
,
'lm_url'
:
''
,
'lm_md5'
:
''
,
},
},
"conformer_u2pp_online_wenetspeech-zh-16k"
:
{
'1.
1
'
:
{
'1.
3
'
:
{
'url'
:
'https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_u2pp_wenetspeech_ckpt_1.
1.4
.model.tar.gz'
,
'https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_u2pp_wenetspeech_ckpt_1.
3.0
.model.tar.gz'
,
'md5'
:
'
3100fc1eac5779486cab859366992d0b
'
,
'
62d230c1bf27731192aa9d3b8deca300
'
,
'cfg_path'
:
'model.yaml'
,
'ckpt_path'
:
...
...
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