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Authored by
Fangjun Kuang
2024-06-28 11:27:19 +0800
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Plain Diff
Committed by
GitHub
2024-06-28 11:27:19 +0800
Commit
8c4f576f1bbf9ef16b1bc34e6ab0afe79fad254e
8c4f576f
1 parent
598c12c4
Support .Net framework 2.0 (#1062)
隐藏空白字符变更
内嵌
并排对比
正在显示
10 个修改的文件
包含
90 行增加
和
79 行删除
dotnet-examples/offline-decode-files/Program.cs
dotnet-examples/offline-tts/Program.cs
dotnet-examples/online-decode-files/Program.cs
scripts/dotnet/OfflineRecognizer.cs
scripts/dotnet/OnlineRecognizer.cs
scripts/dotnet/OnlineRecognizerResult.cs
scripts/dotnet/run.sh
scripts/dotnet/sherpa-onnx.csproj.in
scripts/dotnet/sherpa-onnx.csproj.runtime.in
sherpa-onnx/kotlin-api/OfflineRecognizer.kt
dotnet-examples/offline-decode-files/Program.cs
查看文件 @
8c4f576
...
...
@@ -17,75 +17,74 @@ class OfflineDecodeFiles
{
[
Option
(
"sample-rate"
,
Required
=
false
,
Default
=
16000
,
HelpText
=
"Sample rate of the data used to train the model"
)]
public
int
SampleRate
{
get
;
set
;
}
public
int
SampleRate
{
get
;
set
;
}
=
16000
;
[
Option
(
"feat-dim"
,
Required
=
false
,
Default
=
80
,
HelpText
=
"Dimension of the features used to train the model"
)]
public
int
FeatureDim
{
get
;
set
;
}
public
int
FeatureDim
{
get
;
set
;
}
=
80
;
[
Option
(
Required
=
false
,
HelpText
=
"Path to tokens.txt"
)]
public
string
Tokens
{
get
;
set
;
}
public
string
Tokens
{
get
;
set
;
}
=
""
;
[
Option
(
Required
=
false
,
Default
=
""
,
HelpText
=
"Path to transducer encoder.onnx. Used only for transducer models"
)]
public
string
Encoder
{
get
;
set
;
}
public
string
Encoder
{
get
;
set
;
}
=
""
;
[
Option
(
Required
=
false
,
Default
=
""
,
HelpText
=
"Path to transducer decoder.onnx. Used only for transducer models"
)]
public
string
Decoder
{
get
;
set
;
}
public
string
Decoder
{
get
;
set
;
}
=
""
;
[
Option
(
Required
=
false
,
Default
=
""
,
HelpText
=
"Path to transducer joiner.onnx. Used only for transducer models"
)]
public
string
Joiner
{
get
;
set
;
}
public
string
Joiner
{
get
;
set
;
}
=
""
;
[
Option
(
"model-type"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"model type"
)]
public
string
ModelType
{
get
;
set
;
}
public
string
ModelType
{
get
;
set
;
}
=
""
;
[
Option
(
"whisper-encoder"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"Path to whisper encoder.onnx. Used only for whisper models"
)]
public
string
WhisperEncoder
{
get
;
set
;
}
public
string
WhisperEncoder
{
get
;
set
;
}
=
""
;
[
Option
(
"whisper-decoder"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"Path to whisper decoder.onnx. Used only for whisper models"
)]
public
string
WhisperDecoder
{
get
;
set
;
}
public
string
WhisperDecoder
{
get
;
set
;
}
=
""
;
[
Option
(
"whisper-language"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"Language of the input file. Can be empty"
)]
public
string
WhisperLanguage
{
get
;
set
;
}
public
string
WhisperLanguage
{
get
;
set
;
}
=
""
;
[
Option
(
"whisper-task"
,
Required
=
false
,
Default
=
"transcribe"
,
HelpText
=
"transcribe or translate"
)]
public
string
WhisperTask
{
get
;
set
;
}
public
string
WhisperTask
{
get
;
set
;
}
=
"transcribe"
;
[
Option
(
"tdnn-model"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"Path to tdnn yesno model"
)]
public
string
TdnnModel
{
get
;
set
;
}
public
string
TdnnModel
{
get
;
set
;
}
=
""
;
[
Option
(
Required
=
false
,
HelpText
=
"Path to model.onnx. Used only for paraformer models"
)]
public
string
Paraformer
{
get
;
set
;
}
public
string
Paraformer
{
get
;
set
;
}
=
""
;
[
Option
(
"nemo-ctc"
,
Required
=
false
,
HelpText
=
"Path to model.onnx. Used only for NeMo CTC models"
)]
public
string
NeMoCtc
{
get
;
set
;
}
public
string
NeMoCtc
{
get
;
set
;
}
=
""
;
[
Option
(
"telespeech-ctc"
,
Required
=
false
,
HelpText
=
"Path to model.onnx. Used only for TeleSpeech CTC models"
)]
public
string
TeleSpeechCtc
{
get
;
set
;
}
public
string
TeleSpeechCtc
{
get
;
set
;
}
=
""
;
[
Option
(
"num-threads"
,
Required
=
false
,
Default
=
1
,
HelpText
=
"Number of threads for computation"
)]
public
int
NumThreads
{
get
;
set
;
}
public
int
NumThreads
{
get
;
set
;
}
=
1
;
[
Option
(
"decoding-method"
,
Required
=
false
,
Default
=
"greedy_search"
,
HelpText
=
"Valid decoding methods are: greedy_search, modified_beam_search"
)]
public
string
DecodingMethod
{
get
;
set
;
}
public
string
DecodingMethod
{
get
;
set
;
}
=
"greedy_search"
;
[
Option
(
"rule-fsts"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"If not empty, path to rule fst for inverse text normalization"
)]
public
string
RuleFsts
{
get
;
set
;
}
public
string
RuleFsts
{
get
;
set
;
}
=
""
;
[
Option
(
"max-active-paths"
,
Required
=
false
,
Default
=
4
,
HelpText
=
@
"Used only when --decoding--method is modified_beam_search.
It
specifies
number
of
active
paths
to
keep
during
the
search
")]
public
int
MaxActivePaths
{
get
;
set
;
}
public
int
MaxActivePaths
{
get
;
set
;
}
=
4
;
[
Option
(
"hotwords-file"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"Path to hotwords.txt"
)]
public
string
HotwordsFile
{
get
;
set
;
}
public
string
HotwordsFile
{
get
;
set
;
}
=
""
;
[
Option
(
"hotwords-score"
,
Required
=
false
,
Default
=
1.5F
,
HelpText
=
"hotwords score"
)]
public
float
HotwordsScore
{
get
;
set
;
}
public
float
HotwordsScore
{
get
;
set
;
}
=
1.5F
;
[
Option
(
"files"
,
Required
=
true
,
HelpText
=
"Audio files for decoding"
)]
public
IEnumerable
<
string
>
Files
{
get
;
set
;
}
public
IEnumerable
<
string
>
Files
{
get
;
set
;
}
=
new
string
[]
{};
}
static
void
Main
(
string
[]
args
)
...
...
dotnet-examples/offline-tts/Program.cs
查看文件 @
8c4f576
...
...
@@ -18,49 +18,49 @@ class OfflineTtsDemo
{
[
Option
(
"tts-rule-fsts"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"path to rule.fst"
)]
public
string
RuleFsts
{
get
;
set
;
}
public
string
RuleFsts
{
get
;
set
;
}
=
""
;
[
Option
(
"tts-rule-fars"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"path to rule.far"
)]
public
string
RuleFars
{
get
;
set
;
}
public
string
RuleFars
{
get
;
set
;
}
=
""
;
[
Option
(
"vits-dict-dir"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"Path to the directory containing dict for jieba."
)]
public
string
DictDir
{
get
;
set
;
}
public
string
DictDir
{
get
;
set
;
}
=
""
;
[
Option
(
"vits-data-dir"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"Path to the directory containing dict for espeak-ng."
)]
public
string
DataDir
{
get
;
set
;
}
public
string
DataDir
{
get
;
set
;
}
=
""
;
[
Option
(
"vits-length-scale"
,
Required
=
false
,
Default
=
1
,
HelpText
=
"speech speed. Larger->Slower; Smaller->faster"
)]
public
float
LengthScale
{
get
;
set
;
}
public
float
LengthScale
{
get
;
set
;
}
=
1
;
[
Option
(
"vits-noise-scale"
,
Required
=
false
,
Default
=
0.667f
,
HelpText
=
"noise_scale for VITS models"
)]
public
float
NoiseScale
{
get
;
set
;
}
public
float
NoiseScale
{
get
;
set
;
}
=
0.667F
;
[
Option
(
"vits-noise-scale-w"
,
Required
=
false
,
Default
=
0.8f
,
HelpText
=
"noise_scale_w for VITS models"
)]
public
float
NoiseScaleW
{
get
;
set
;
}
[
Option
(
"vits-noise-scale-w"
,
Required
=
false
,
Default
=
0.8F
,
HelpText
=
"noise_scale_w for VITS models"
)]
public
float
NoiseScaleW
{
get
;
set
;
}
=
0.8F
;
[
Option
(
"vits-lexicon"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"Path to lexicon.txt"
)]
public
string
Lexicon
{
get
;
set
;
}
public
string
Lexicon
{
get
;
set
;
}
=
""
;
[
Option
(
"vits-tokens"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"Path to tokens.txt"
)]
public
string
Tokens
{
get
;
set
;
}
public
string
Tokens
{
get
;
set
;
}
=
""
;
[
Option
(
"tts-max-num-sentences"
,
Required
=
false
,
Default
=
1
,
HelpText
=
"Maximum number of sentences that we process at a time."
)]
public
int
MaxNumSentences
{
get
;
set
;
}
public
int
MaxNumSentences
{
get
;
set
;
}
=
1
;
[
Option
(
Required
=
false
,
Default
=
0
,
HelpText
=
"1 to show debug messages."
)]
public
int
Debug
{
get
;
set
;
}
public
int
Debug
{
get
;
set
;
}
=
0
;
[
Option
(
"vits-model"
,
Required
=
true
,
HelpText
=
"Path to VITS model"
)]
public
string
Model
{
get
;
set
;
}
public
string
Model
{
get
;
set
;
}
=
""
;
[
Option
(
"sid"
,
Required
=
false
,
Default
=
0
,
HelpText
=
"Speaker ID"
)]
public
int
SpeakerId
{
get
;
set
;
}
public
int
SpeakerId
{
get
;
set
;
}
=
0
;
[
Option
(
"text"
,
Required
=
true
,
HelpText
=
"Text to synthesize"
)]
public
string
Text
{
get
;
set
;
}
public
string
Text
{
get
;
set
;
}
=
""
;
[
Option
(
"output-filename"
,
Required
=
true
,
Default
=
"./generated.wav"
,
HelpText
=
"Path to save the generated audio"
)]
public
string
OutputFilename
{
get
;
set
;
}
public
string
OutputFilename
{
get
;
set
;
}
=
"./generated.wav"
;
}
static
void
Main
(
string
[]
args
)
...
...
dotnet-examples/online-decode-files/Program.cs
查看文件 @
8c4f576
...
...
@@ -18,81 +18,80 @@ class OnlineDecodeFiles
class
Options
{
[
Option
(
Required
=
true
,
HelpText
=
"Path to tokens.txt"
)]
public
string
Tokens
{
get
;
set
;
}
public
string
Tokens
{
get
;
set
;
}
=
""
;
[
Option
(
Required
=
false
,
Default
=
"cpu"
,
HelpText
=
"Provider, e.g., cpu, coreml"
)]
public
string
Provider
{
get
;
set
;
}
public
string
Provider
{
get
;
set
;
}
=
""
;
[
Option
(
Required
=
false
,
HelpText
=
"Path to transducer encoder.onnx"
)]
public
string
Encoder
{
get
;
set
;
}
public
string
Encoder
{
get
;
set
;
}
=
""
;
[
Option
(
Required
=
false
,
HelpText
=
"Path to transducer decoder.onnx"
)]
public
string
Decoder
{
get
;
set
;
}
public
string
Decoder
{
get
;
set
;
}
=
""
;
[
Option
(
Required
=
false
,
HelpText
=
"Path to transducer joiner.onnx"
)]
public
string
Joiner
{
get
;
set
;
}
public
string
Joiner
{
get
;
set
;
}
=
""
;
[
Option
(
"paraformer-encoder"
,
Required
=
false
,
HelpText
=
"Path to paraformer encoder.onnx"
)]
public
string
ParaformerEncoder
{
get
;
set
;
}
public
string
ParaformerEncoder
{
get
;
set
;
}
=
""
;
[
Option
(
"paraformer-decoder"
,
Required
=
false
,
HelpText
=
"Path to paraformer decoder.onnx"
)]
public
string
ParaformerDecoder
{
get
;
set
;
}
public
string
ParaformerDecoder
{
get
;
set
;
}
=
""
;
[
Option
(
"zipformer2-ctc"
,
Required
=
false
,
HelpText
=
"Path to zipformer2 CTC onnx model"
)]
public
string
Zipformer2Ctc
{
get
;
set
;
}
public
string
Zipformer2Ctc
{
get
;
set
;
}
=
""
;
[
Option
(
"num-threads"
,
Required
=
false
,
Default
=
1
,
HelpText
=
"Number of threads for computation"
)]
public
int
NumThreads
{
get
;
set
;
}
public
int
NumThreads
{
get
;
set
;
}
=
1
;
[
Option
(
"decoding-method"
,
Required
=
false
,
Default
=
"greedy_search"
,
HelpText
=
"Valid decoding methods are: greedy_search, modified_beam_search"
)]
public
string
DecodingMethod
{
get
;
set
;
}
public
string
DecodingMethod
{
get
;
set
;
}
=
"greedy_search"
;
[
Option
(
Required
=
false
,
Default
=
false
,
HelpText
=
"True to show model info during loading"
)]
public
bool
Debug
{
get
;
set
;
}
public
bool
Debug
{
get
;
set
;
}
=
false
;
[
Option
(
"sample-rate"
,
Required
=
false
,
Default
=
16000
,
HelpText
=
"Sample rate of the data used to train the model"
)]
public
int
SampleRate
{
get
;
set
;
}
public
int
SampleRate
{
get
;
set
;
}
=
16000
;
[
Option
(
"max-active-paths"
,
Required
=
false
,
Default
=
4
,
HelpText
=
@
"Used only when --decoding--method is modified_beam_search.
It
specifies
number
of
active
paths
to
keep
during
the
search
")]
public
int
MaxActivePaths
{
get
;
set
;
}
public
int
MaxActivePaths
{
get
;
set
;
}
=
4
;
[
Option
(
"enable-endpoint"
,
Required
=
false
,
Default
=
false
,
HelpText
=
"True to enable endpoint detection."
)]
public
bool
EnableEndpoint
{
get
;
set
;
}
public
bool
EnableEndpoint
{
get
;
set
;
}
=
false
;
[
Option
(
"rule1-min-trailing-silence"
,
Required
=
false
,
Default
=
2.4F
,
HelpText
=
@
"An endpoint is detected if trailing silence in seconds is
larger
than
this
value
even
if
nothing
has
been
decoded
.
Used
only
when
--
enable
-
endpoint
is
true
.
")]
public
float
Rule1MinTrailingSilence
{
get
;
set
;
}
public
float
Rule1MinTrailingSilence
{
get
;
set
;
}
=
2.4F
;
[
Option
(
"rule2-min-trailing-silence"
,
Required
=
false
,
Default
=
1.2F
,
HelpText
=
@
"An endpoint is detected if trailing silence in seconds is
larger
than
this
value
after
something
that
is
not
blank
has
been
decoded
.
Used
only
when
--
enable
-
endpoint
is
true
.
")]
public
float
Rule2MinTrailingSilence
{
get
;
set
;
}
public
float
Rule2MinTrailingSilence
{
get
;
set
;
}
=
1.2F
;
[
Option
(
"rule3-min-utterance-length"
,
Required
=
false
,
Default
=
20.0F
,
HelpText
=
@
"An endpoint is detected if the utterance in seconds is
larger
than
this
value
.
Used
only
when
--
enable
-
endpoint
is
true
.
")]
public
float
Rule3MinUtteranceLength
{
get
;
set
;
}
public
float
Rule3MinUtteranceLength
{
get
;
set
;
}
=
20.0F
;
[
Option
(
"hotwords-file"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"Path to hotwords.txt"
)]
public
string
HotwordsFile
{
get
;
set
;
}
public
string
HotwordsFile
{
get
;
set
;
}
=
""
;
[
Option
(
"hotwords-score"
,
Required
=
false
,
Default
=
1.5F
,
HelpText
=
"hotwords score"
)]
public
float
HotwordsScore
{
get
;
set
;
}
public
float
HotwordsScore
{
get
;
set
;
}
=
1.5F
;
[
Option
(
"rule-fsts"
,
Required
=
false
,
Default
=
""
,
HelpText
=
"If not empty, path to rule fst for inverse text normalization"
)]
public
string
RuleFsts
{
get
;
set
;
}
public
string
RuleFsts
{
get
;
set
;
}
=
""
;
[
Option
(
"files"
,
Required
=
true
,
HelpText
=
"Audio files for decoding"
)]
public
IEnumerable
<
string
>
Files
{
get
;
set
;
}
public
IEnumerable
<
string
>
Files
{
get
;
set
;
}
=
new
string
[]
{};
}
static
void
Main
(
string
[]
args
)
...
...
scripts/dotnet/OfflineRecognizer.cs
查看文件 @
8c4f576
...
...
@@ -2,7 +2,6 @@
using
System
;
using
System.Collections.Generic
;
using
System.Linq
;
using
System.Runtime.InteropServices
;
namespace
SherpaOnnx
...
...
@@ -29,7 +28,14 @@ namespace SherpaOnnx
// The caller should ensure all passed streams are ready for decoding.
public
void
Decode
(
IEnumerable
<
OfflineStream
>
streams
)
{
IntPtr
[]
ptrs
=
streams
.
Select
(
s
=>
s
.
Handle
).
ToArray
();
// TargetFramework=net20 does not support System.Linq
// IntPtr[] ptrs = streams.Select(s => s.Handle).ToArray();
List
<
IntPtr
>
list
=
new
List
<
IntPtr
>();
foreach
(
OfflineStream
s
in
streams
)
{
list
.
Add
(
s
.
Handle
);
}
IntPtr
[]
ptrs
=
list
.
ToArray
();
Decode
(
_handle
.
Handle
,
ptrs
,
ptrs
.
Length
);
}
...
...
scripts/dotnet/OnlineRecognizer.cs
查看文件 @
8c4f576
...
...
@@ -3,7 +3,6 @@
/// Copyright (c) 2024.5 by 东风破
using
System
;
using
System.Collections.Generic
;
using
System.Linq
;
using
System.Runtime.InteropServices
;
namespace
SherpaOnnx
...
...
@@ -49,7 +48,15 @@ namespace SherpaOnnx
// The caller should ensure all passed streams are ready for decoding.
public
void
Decode
(
IEnumerable
<
OnlineStream
>
streams
)
{
IntPtr
[]
ptrs
=
streams
.
Select
(
s
=>
s
.
Handle
).
ToArray
();
// TargetFramework=net20 does not support System.Linq
// IntPtr[] ptrs = streams.Select(s => s.Handle).ToArray();
List
<
IntPtr
>
list
=
new
List
<
IntPtr
>();
foreach
(
OnlineStream
s
in
streams
)
{
list
.
Add
(
s
.
Handle
);
}
IntPtr
[]
ptrs
=
list
.
ToArray
();
Decode
(
_handle
.
Handle
,
ptrs
,
ptrs
.
Length
);
}
...
...
scripts/dotnet/OnlineRecognizerResult.cs
查看文件 @
8c4f576
...
...
@@ -77,7 +77,7 @@ namespace SherpaOnnx
}
else
{
_timestamps
=
Array
.
Empty
<
float
>()
;
_timestamps
=
new
float
[]
{}
;
}
}
}
...
...
scripts/dotnet/run.sh
查看文件 @
8c4f576
...
...
@@ -38,7 +38,7 @@ macos_arm64_wheel=$src_dir/$macos_arm64_wheel_filename
windows_x64_wheel_filename
=
sherpa_onnx-
${
SHERPA_ONNX_VERSION
}
-cp38-cp38-win_amd64.whl
windows_x64_wheel
=
$src_dir
/
$windows_x64_wheel_filename
windows_x86_wheel_filename
=
sherpa
_onnx-
${
SHERPA_ONNX_VERSION
}
-cp38-cp38-win32.whl
windows_x86_wheel_filename
=
sherpa
-onnx-
${
SHERPA_ONNX_VERSION
}
-win-x86.tar.bz2
windows_x86_wheel
=
$src_dir
/
$windows_x86_wheel_filename
windows_arm64_wheel_filename
=
sherpa-onnx-
${
SHERPA_ONNX_VERSION
}
-win-arm64.tar.bz2
...
...
@@ -138,10 +138,10 @@ if [ ! -f $src_dir/windows-x86/sherpa-onnx-core.dll ]; then
if
[
-f
$windows_x86_wheel
]
;
then
cp -v
$windows_x86_wheel
.
else
curl -OL https://
$HF_MIRROR
/csukuangfj/sherpa-onnx-
wheels/resolve/main
/
$windows_x86_wheel_filename
curl -OL https://
$HF_MIRROR
/csukuangfj/sherpa-onnx-
libs/resolve/main/windows-for-dotnet
/
$windows_x86_wheel_filename
fi
unzip
$windows_x86_wheel_filename
cp -v sherpa_onnx-
${
SHERPA_ONNX_VERSION
}
.data/data/bin/
*
.dll ../
tar xvf
$windows_x86_wheel_filename
cp -v sherpa-onnx-
${
SHERPA_ONNX_VERSION
}
-win-x86/
*
dll ../
cd
..
rm -rf wheel
...
...
@@ -159,7 +159,7 @@ if [ ! -f $src_dir/windows-arm64/sherpa-onnx-core.dll ]; then
else
curl -OL https://
$HF_MIRROR
/csukuangfj/sherpa-onnx-libs/resolve/main/windows-for-dotnet/
$windows_arm64_wheel_filename
fi
unzip
$windows_arm64_wheel_filename
tar xvf
$windows_arm64_wheel_filename
cp -v sherpa-onnx-
${
SHERPA_ONNX_VERSION
}
-win-arm64/
*
dll ../
cd
..
...
...
scripts/dotnet/sherpa-onnx.csproj.in
查看文件 @
8c4f576
...
...
@@ -4,7 +4,7 @@
<PackageReadmeFile>README.md</PackageReadmeFile>
<OutputType>Library</OutputType>
<LangVersion>10.0</LangVersion>
<TargetFrameworks>netstandard2.0</TargetFrameworks>
<TargetFrameworks>net
6.0;net45;net40;net35;net20;net
standard2.0</TargetFrameworks>
<RuntimeIdentifiers>linux-x64;osx-x64;osx-arm64;win-x64;win-x86;win-arm64</RuntimeIdentifiers>
<AllowUnsafeBlocks>true</AllowUnsafeBlocks>
<AssemblyName>sherpa-onnx</AssemblyName>
...
...
scripts/dotnet/sherpa-onnx.csproj.runtime.in
查看文件 @
8c4f576
...
...
@@ -3,7 +3,7 @@
<PackageLicenseExpression>Apache-2.0</PackageLicenseExpression>
<PackageReadmeFile>README.md</PackageReadmeFile>
<OutputType>Library</OutputType>
<TargetFrameworks>netstandard2.0</TargetFrameworks>
<TargetFrameworks>net
6.0;net45;net40;net35;net20;net
standard2.0</TargetFrameworks>
<RuntimeIdentifier>{{ dotnet_rid }}</RuntimeIdentifier>
<AssemblyName>sherpa-onnx</AssemblyName>
<Version>{{ version }}</Version>
...
...
sherpa-onnx/kotlin-api/OfflineRecognizer.kt
查看文件 @
8c4f576
...
...
@@ -171,7 +171,7 @@ fun getOfflineModelConfig(type: Int): OfflineModelConfig? {
joiner = "$modelDir/joiner-epoch-30-avg-4.onnx",
),
tokens = "$modelDir/tokens.txt",
modelType = "
zipform
er",
modelType = "
transduc
er",
)
}
...
...
@@ -209,7 +209,7 @@ fun getOfflineModelConfig(type: Int): OfflineModelConfig? {
joiner = "$modelDir/joiner-epoch-12-avg-4.int8.onnx",
),
tokens = "$modelDir/tokens.txt",
modelType = "
zipform
er",
modelType = "
transduc
er",
)
}
...
...
@@ -222,7 +222,7 @@ fun getOfflineModelConfig(type: Int): OfflineModelConfig? {
joiner = "$modelDir/joiner-epoch-20-avg-1.int8.onnx",
),
tokens = "$modelDir/tokens.txt",
modelType = "
zipformer2
",
modelType = "
transducer
",
)
}
...
...
@@ -281,7 +281,7 @@ fun getOfflineModelConfig(type: Int): OfflineModelConfig? {
return OfflineModelConfig(
teleSpeech = "$modelDir/model.int8.onnx",
tokens = "$modelDir/tokens.txt",
modelType = "tele
_speech
",
modelType = "tele
speech_ctc
",
)
}
...
...
@@ -294,7 +294,7 @@ fun getOfflineModelConfig(type: Int): OfflineModelConfig? {
joiner = "$modelDir/joiner-epoch-12-avg-5.int8.onnx",
),
tokens = "$modelDir/tokens.txt",
modelType = "
zipformer2
",
modelType = "
transducer
",
)
}
...
...
@@ -307,7 +307,7 @@ fun getOfflineModelConfig(type: Int): OfflineModelConfig? {
joiner = "$modelDir/joiner-epoch-99-avg-1.int8.onnx",
),
tokens = "$modelDir/tokens.txt",
modelType = "
zipformer2
",
modelType = "
transducer
",
)
}
}
...
...
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