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Authored by
zhaomingwork
2023-08-16 20:16:51 +0800
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Committed by
GitHub
2023-08-16 20:16:51 +0800
Commit
256a8ecb507bc59dfff12f82bad35402ce35f0e0
256a8ecb
1 parent
f709c95c
update java for paraformer (#276)
隐藏空白字符变更
内嵌
并排对比
正在显示
6 个修改的文件
包含
109 行增加
和
46 行删除
java-api-examples/src/websocketsrv/AsrWebsocketServer.java
sherpa-onnx/java-api/src/com/k2fsa/sherpa/onnx/OnlineModelConfig.java
sherpa-onnx/java-api/src/com/k2fsa/sherpa/onnx/OnlineParaformerModelConfig.java
sherpa-onnx/java-api/src/com/k2fsa/sherpa/onnx/OnlineRecognizer.java
sherpa-onnx/java-api/src/com/k2fsa/sherpa/onnx/OnlineRecognizerConfig.java
sherpa-onnx/java-api/src/com/k2fsa/sherpa/onnx/OnlineTransducerModelConfig.java
java-api-examples/src/websocketsrv/AsrWebsocketServer.java
查看文件 @
256a8ec
...
...
@@ -218,14 +218,15 @@ public class AsrWebsocketServer extends WebSocketServer {
String
soPath
=
args
[
0
];
String
cfgPath
=
args
[
1
];
OnlineRecognizer
.
setSoPath
(
soPath
);
logger
.
info
(
"readProperties"
);
Map
<
String
,
String
>
cfgMap
=
AsrWebsocketServer
.
readProperties
(
cfgPath
);
int
port
=
Integer
.
valueOf
(
cfgMap
.
get
(
"port"
));
int
connectionThreadNum
=
Integer
.
valueOf
(
cfgMap
.
get
(
"connection_thread_num"
));
AsrWebsocketServer
s
=
new
AsrWebsocketServer
(
port
,
connectionThreadNum
);
logger
.
info
(
"initModelWithCfg"
);
s
.
initModelWithCfg
(
cfgMap
,
cfgPath
);
logger
.
info
(
"Server started on port: "
+
s
.
getPort
());
s
.
start
();
...
...
sherpa-onnx/java-api/src/com/k2fsa/sherpa/onnx/OnlineModelConfig.java
0 → 100644
查看文件 @
256a8ec
/*
* // Copyright 2022-2023 by zhaoming
*/
package
com
.
k2fsa
.
sherpa
.
onnx
;
public
class
OnlineModelConfig
{
private
final
OnlineParaformerModelConfig
paraformer
;
private
final
OnlineTransducerModelConfig
transducer
;
private
final
String
tokens
;
private
final
int
numThreads
;
private
final
boolean
debug
;
private
final
String
provider
=
"cpu"
;
private
String
modelType
=
""
;
public
OnlineModelConfig
(
String
tokens
,
int
numThreads
,
boolean
debug
,
String
modelType
,
OnlineParaformerModelConfig
paraformer
,
OnlineTransducerModelConfig
transducer
)
{
this
.
tokens
=
tokens
;
this
.
numThreads
=
numThreads
;
this
.
debug
=
debug
;
this
.
modelType
=
modelType
;
this
.
paraformer
=
paraformer
;
this
.
transducer
=
transducer
;
}
public
OnlineParaformerModelConfig
getParaformer
()
{
return
paraformer
;
}
public
OnlineTransducerModelConfig
getTransducer
()
{
return
transducer
;
}
public
String
getTokens
()
{
return
tokens
;
}
public
int
getNumThreads
()
{
return
numThreads
;
}
public
boolean
getDebug
()
{
return
debug
;
}
}
...
...
sherpa-onnx/java-api/src/com/k2fsa/sherpa/onnx/OnlineParaformerModelConfig.java
0 → 100644
查看文件 @
256a8ec
/*
* // Copyright 2022-2023 by zhaoming
*/
package
com
.
k2fsa
.
sherpa
.
onnx
;
public
class
OnlineParaformerModelConfig
{
private
final
String
encoder
;
private
final
String
decoder
;
public
OnlineParaformerModelConfig
(
String
encoder
,
String
decoder
)
{
this
.
encoder
=
encoder
;
this
.
decoder
=
decoder
;
}
public
String
getEncoder
()
{
return
encoder
;
}
public
String
getDecoder
()
{
return
decoder
;
}
}
...
...
sherpa-onnx/java-api/src/com/k2fsa/sherpa/onnx/OnlineRecognizer.java
查看文件 @
256a8ec
...
...
@@ -56,15 +56,21 @@ public class OnlineRecognizer {
new
EndpointRule
(
false
,
0.0
F
,
Float
.
parseFloat
(
proMap
.
get
(
"rule3_min_utterance_length"
).
trim
()));
EndpointConfig
endCfg
=
new
EndpointConfig
(
rule1
,
rule2
,
rule3
);
OnlineTransducerModelConfig
modelCfg
=
OnlineParaformerModelConfig
modelParaCfg
=
new
OnlineParaformerModelConfig
(
""
,
""
);
OnlineTransducerModelConfig
modelTranCfg
=
new
OnlineTransducerModelConfig
(
proMap
.
get
(
"encoder"
).
trim
(),
proMap
.
get
(
"decoder"
).
trim
(),
proMap
.
get
(
"joiner"
).
trim
(),
proMap
.
get
(
"joiner"
).
trim
());
OnlineModelConfig
modelCfg
=
new
OnlineModelConfig
(
proMap
.
get
(
"tokens"
).
trim
(),
Integer
.
parseInt
(
proMap
.
get
(
"num_threads"
).
trim
()),
false
,
proMap
.
get
(
"model_type"
).
trim
());
proMap
.
get
(
"model_type"
).
trim
(),
modelParaCfg
,
modelTranCfg
);
FeatureConfig
featConfig
=
new
FeatureConfig
(
sampleRate
,
Integer
.
parseInt
(
proMap
.
get
(
"feature_dim"
).
trim
()));
OnlineLMConfig
onlineLmConfig
=
...
...
@@ -104,15 +110,23 @@ public class OnlineRecognizer {
new
EndpointRule
(
false
,
0.0
F
,
Float
.
parseFloat
(
proMap
.
get
(
"rule3_min_utterance_length"
).
trim
()));
EndpointConfig
endCfg
=
new
EndpointConfig
(
rule1
,
rule2
,
rule3
);
OnlineTransducerModelConfig
modelCfg
=
OnlineParaformerModelConfig
modelParaCfg
=
new
OnlineParaformerModelConfig
(
proMap
.
get
(
"encoder"
).
trim
(),
proMap
.
get
(
"decoder"
).
trim
());
OnlineTransducerModelConfig
modelTranCfg
=
new
OnlineTransducerModelConfig
(
proMap
.
get
(
"encoder"
).
trim
(),
proMap
.
get
(
"decoder"
).
trim
(),
proMap
.
get
(
"joiner"
).
trim
(),
proMap
.
get
(
"joiner"
).
trim
());
OnlineModelConfig
modelCfg
=
new
OnlineModelConfig
(
proMap
.
get
(
"tokens"
).
trim
(),
Integer
.
parseInt
(
proMap
.
get
(
"num_threads"
).
trim
()),
false
,
proMap
.
get
(
"model_type"
).
trim
());
proMap
.
get
(
"model_type"
).
trim
(),
modelParaCfg
,
modelTranCfg
);
FeatureConfig
featConfig
=
new
FeatureConfig
(
sampleRate
,
Integer
.
parseInt
(
proMap
.
get
(
"feature_dim"
).
trim
()));
...
...
@@ -160,9 +174,11 @@ public class OnlineRecognizer {
EndpointRule
rule2
=
new
EndpointRule
(
true
,
rule2MinTrailingSilence
,
0.0
F
);
EndpointRule
rule3
=
new
EndpointRule
(
false
,
0.0
F
,
rule3MinUtteranceLength
);
EndpointConfig
endCfg
=
new
EndpointConfig
(
rule1
,
rule2
,
rule3
);
OnlineTransducerModelConfig
modelCfg
=
new
OnlineTransducerModelConfig
(
encoder
,
decoder
,
joiner
,
tokens
,
numThreads
,
false
,
modelType
);
OnlineParaformerModelConfig
modelParaCfg
=
new
OnlineParaformerModelConfig
(
encoder
,
decoder
);
OnlineTransducerModelConfig
modelTranCfg
=
new
OnlineTransducerModelConfig
(
encoder
,
decoder
,
joiner
);
OnlineModelConfig
modelCfg
=
new
OnlineModelConfig
(
tokens
,
numThreads
,
false
,
modelType
,
modelParaCfg
,
modelTranCfg
);
FeatureConfig
featConfig
=
new
FeatureConfig
(
sampleRate
,
featureDim
);
OnlineLMConfig
onlineLmConfig
=
new
OnlineLMConfig
(
lm_model
,
lm_scale
);
OnlineRecognizerConfig
rcgCfg
=
...
...
@@ -277,6 +293,7 @@ public class OnlineRecognizer {
System
.
out
.
println
(
"so lib path="
+
soPath
+
"\n"
);
System
.
load
(
soPath
.
trim
());
System
.
out
.
println
(
"load so lib succeed\n"
);
}
public
static
void
setSoPath
(
String
soPath
)
{
...
...
sherpa-onnx/java-api/src/com/k2fsa/sherpa/onnx/OnlineRecognizerConfig.java
查看文件 @
256a8ec
...
...
@@ -6,26 +6,25 @@ package com.k2fsa.sherpa.onnx;
public
class
OnlineRecognizerConfig
{
private
final
FeatureConfig
featConfig
;
private
final
Online
Transducer
ModelConfig
modelConfig
;
private
final
OnlineModelConfig
modelConfig
;
private
final
EndpointConfig
endpointConfig
;
private
final
OnlineLMConfig
lmConfig
;
private
final
boolean
enableEndpoint
;
private
final
String
decodingMethod
;
private
final
int
maxActivePaths
;
public
OnlineRecognizerConfig
(
FeatureConfig
featConfig
,
Online
Transducer
ModelConfig
modelConfig
,
OnlineModelConfig
modelConfig
,
EndpointConfig
endpointConfig
,
OnlineLMConfig
lmConfig
,
OnlineLMConfig
lmConfig
,
boolean
enableEndpoint
,
String
decodingMethod
,
int
maxActivePaths
)
{
this
.
featConfig
=
featConfig
;
this
.
modelConfig
=
modelConfig
;
this
.
endpointConfig
=
endpointConfig
;
this
.
lmConfig
=
lmConfig
;
this
.
lmConfig
=
lmConfig
;
this
.
enableEndpoint
=
enableEndpoint
;
this
.
decodingMethod
=
decodingMethod
;
this
.
maxActivePaths
=
maxActivePaths
;
...
...
@@ -39,7 +38,7 @@ public class OnlineRecognizerConfig {
return
featConfig
;
}
public
Online
Transducer
ModelConfig
getModelConfig
()
{
public
OnlineModelConfig
getModelConfig
()
{
return
modelConfig
;
}
...
...
sherpa-onnx/java-api/src/com/k2fsa/sherpa/onnx/OnlineTransducerModelConfig.java
查看文件 @
256a8ec
...
...
@@ -8,27 +8,11 @@ public class OnlineTransducerModelConfig {
private
final
String
encoder
;
private
final
String
decoder
;
private
final
String
joiner
;
private
final
String
tokens
;
private
final
int
numThreads
;
private
final
boolean
debug
;
private
final
String
provider
=
"cpu"
;
private
String
modelType
=
""
;
public
OnlineTransducerModelConfig
(
String
encoder
,
String
decoder
,
String
joiner
,
String
tokens
,
int
numThreads
,
boolean
debug
,
String
modelType
)
{
public
OnlineTransducerModelConfig
(
String
encoder
,
String
decoder
,
String
joiner
)
{
this
.
encoder
=
encoder
;
this
.
decoder
=
decoder
;
this
.
joiner
=
joiner
;
this
.
tokens
=
tokens
;
this
.
numThreads
=
numThreads
;
this
.
debug
=
debug
;
this
.
modelType
=
modelType
;
}
public
String
getEncoder
()
{
...
...
@@ -42,16 +26,4 @@ public class OnlineTransducerModelConfig {
public
String
getJoiner
()
{
return
joiner
;
}
public
String
getTokens
()
{
return
tokens
;
}
public
int
getNumThreads
()
{
return
numThreads
;
}
public
boolean
getDebug
()
{
return
debug
;
}
}
...
...
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