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Fix #608 (#610)

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Fix java tests.
This commit is contained in:
Fangjun Kuang
2024-02-26 13:49:37 +08:00
committed by GitHub
parent ee37d9bd92
commit fb04366179
15 changed files with 561 additions and 532 deletions
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585
sherpa-onnx/java-api/src/com/k2fsa/sherpa/onnx/OnlineRecognizer.java
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@@ -32,336 +32,345 @@ usage example:
*/
package com.k2fsa.sherpa.onnx;
import java.io.*;
import java.util.*;
import java.io.BufferedInputStream;
import java.io.File;
import java.io.FileInputStream;
import java.io.InputStream;
import java.util.Enumeration;
import java.util.HashMap;
import java.util.Map;
import java.util.Properties;
public class OnlineRecognizer {
private long ptr = 0; // this is the asr engine ptrss
private long ptr = 0; // this is the asr engine ptrss
private int sampleRate = 16000;
private int sampleRate = 16000;
// load config file for OnlineRecognizer
public OnlineRecognizer(String modelCfgPath) {
Map<String, String> proMap = this.readProperties(modelCfgPath);
try {
int sampleRate = Integer.parseInt(proMap.getOrDefault("sample_rate", "16000").trim());
this.sampleRate = sampleRate;
EndpointRule rule1 =
new EndpointRule(
false,
Float.parseFloat(proMap.getOrDefault("rule1_min_trailing_silence", "2.4").trim()),
0.0F);
EndpointRule rule2 =
new EndpointRule(
true,
Float.parseFloat(proMap.getOrDefault("rule2_min_trailing_silence", "1.2").trim()),
0.0F);
EndpointRule rule3 =
new EndpointRule(
false,
0.0F,
Float.parseFloat(proMap.getOrDefault("rule3_min_utterance_length", "20").trim()));
EndpointConfig endCfg = new EndpointConfig(rule1, rule2, rule3);
// load config file for OnlineRecognizer
public OnlineRecognizer(String modelCfgPath) {
Map<String, String> proMap = this.readProperties(modelCfgPath);
try {
int sampleRate = Integer.parseInt(proMap.getOrDefault("sample_rate", "16000").trim());
this.sampleRate = sampleRate;
EndpointRule rule1 =
new EndpointRule(
false,
Float.parseFloat(proMap.getOrDefault("rule1_min_trailing_silence", "2.4").trim()),
0.0F);
EndpointRule rule2 =
new EndpointRule(
true,
Float.parseFloat(proMap.getOrDefault("rule2_min_trailing_silence", "1.2").trim()),
0.0F);
EndpointRule rule3 =
new EndpointRule(
false,
0.0F,
Float.parseFloat(proMap.getOrDefault("rule3_min_utterance_length", "20").trim()));
EndpointConfig endCfg = new EndpointConfig(rule1, rule2, rule3);
OnlineParaformerModelConfig modelParaCfg =
new OnlineParaformerModelConfig(
proMap.getOrDefault("encoder", "").trim(), proMap.getOrDefault("decoder", "").trim());
OnlineTransducerModelConfig modelTranCfg =
new OnlineTransducerModelConfig(
proMap.getOrDefault("encoder", "").trim(),
proMap.getOrDefault("decoder", "").trim(),
proMap.getOrDefault("joiner", "").trim());
OnlineModelConfig modelCfg =
new OnlineModelConfig(
proMap.getOrDefault("tokens", "").trim(),
Integer.parseInt(proMap.getOrDefault("num_threads", "4").trim()),
false,
proMap.getOrDefault("model_type", "zipformer").trim(),
modelParaCfg,
modelTranCfg);
FeatureConfig featConfig =
new FeatureConfig(
sampleRate, Integer.parseInt(proMap.getOrDefault("feature_dim", "80").trim()));
OnlineLMConfig onlineLmConfig =
new OnlineLMConfig(
proMap.getOrDefault("lm_model", "").trim(),
Float.parseFloat(proMap.getOrDefault("lm_scale", "0.5").trim()));
OnlineParaformerModelConfig modelParaCfg =
new OnlineParaformerModelConfig(
proMap.getOrDefault("encoder", "").trim(), proMap.getOrDefault("decoder", "").trim());
OnlineTransducerModelConfig modelTranCfg =
new OnlineTransducerModelConfig(
proMap.getOrDefault("encoder", "").trim(),
proMap.getOrDefault("decoder", "").trim(),
proMap.getOrDefault("joiner", "").trim());
OnlineZipformer2CtcModelConfig zipformer2CtcConfig = new OnlineZipformer2CtcModelConfig("");
OnlineModelConfig modelCfg =
new OnlineModelConfig(
proMap.getOrDefault("tokens", "").trim(),
Integer.parseInt(proMap.getOrDefault("num_threads", "4").trim()),
false,
proMap.getOrDefault("model_type", "zipformer").trim(),
modelParaCfg,
modelTranCfg, zipformer2CtcConfig);
FeatureConfig featConfig =
new FeatureConfig(
sampleRate, Integer.parseInt(proMap.getOrDefault("feature_dim", "80").trim()));
OnlineLMConfig onlineLmConfig =
new OnlineLMConfig(
proMap.getOrDefault("lm_model", "").trim(),
Float.parseFloat(proMap.getOrDefault("lm_scale", "0.5").trim()));
OnlineRecognizerConfig rcgCfg =
new OnlineRecognizerConfig(
featConfig,
modelCfg,
endCfg,
onlineLmConfig,
Boolean.parseBoolean(proMap.getOrDefault("enable_endpoint_detection", "true").trim()),
proMap.getOrDefault("decoding_method", "modified_beam_search").trim(),
Integer.parseInt(proMap.getOrDefault("max_active_paths", "4").trim()),
proMap.getOrDefault("hotwords_file", "").trim(),
Float.parseFloat(proMap.getOrDefault("hotwords_score", "1.5").trim()));
// create a new Recognizer, first parameter kept for android asset_manager ANDROID_API__ >= 9
this.ptr = createOnlineRecognizer(new Object(), rcgCfg);
OnlineRecognizerConfig rcgCfg =
new OnlineRecognizerConfig(
featConfig,
modelCfg,
endCfg,
onlineLmConfig,
Boolean.parseBoolean(proMap.getOrDefault("enable_endpoint_detection", "true").trim()),
proMap.getOrDefault("decoding_method", "modified_beam_search").trim(),
Integer.parseInt(proMap.getOrDefault("max_active_paths", "4").trim()),
proMap.getOrDefault("hotwords_file", "").trim(),
Float.parseFloat(proMap.getOrDefault("hotwords_score", "1.5").trim()));
// create a new Recognizer, first parameter kept for android asset_manager ANDROID_API__ >= 9
this.ptr = createOnlineRecognizer(new Object(), rcgCfg);
} catch (Exception e) {
System.err.println(e);
} catch (Exception e) {
System.err.println(e);
}
}
}
// use for android asset_manager ANDROID_API__ >= 9
public OnlineRecognizer(Object assetManager, String modelCfgPath) {
Map<String, String> proMap = this.readProperties(modelCfgPath);
try {
int sampleRate = Integer.parseInt(proMap.getOrDefault("sample_rate", "16000").trim());
this.sampleRate = sampleRate;
EndpointRule rule1 =
new EndpointRule(
false,
Float.parseFloat(proMap.getOrDefault("rule1_min_trailing_silence", "2.4").trim()),
0.0F);
EndpointRule rule2 =
new EndpointRule(
true,
Float.parseFloat(proMap.getOrDefault("rule2_min_trailing_silence", "1.2").trim()),
0.0F);
EndpointRule rule3 =
new EndpointRule(
false,
0.0F,
Float.parseFloat(proMap.getOrDefault("rule3_min_utterance_length", "20").trim()));
EndpointConfig endCfg = new EndpointConfig(rule1, rule2, rule3);
OnlineParaformerModelConfig modelParaCfg =
new OnlineParaformerModelConfig(
proMap.getOrDefault("encoder", "").trim(), proMap.getOrDefault("decoder", "").trim());
OnlineTransducerModelConfig modelTranCfg =
new OnlineTransducerModelConfig(
proMap.getOrDefault("encoder", "").trim(),
proMap.getOrDefault("decoder", "").trim(),
proMap.getOrDefault("joiner", "").trim());
// use for android asset_manager ANDROID_API__ >= 9
public OnlineRecognizer(Object assetManager, String modelCfgPath) {
Map<String, String> proMap = this.readProperties(modelCfgPath);
try {
int sampleRate = Integer.parseInt(proMap.getOrDefault("sample_rate", "16000").trim());
this.sampleRate = sampleRate;
EndpointRule rule1 =
new EndpointRule(
false,
Float.parseFloat(proMap.getOrDefault("rule1_min_trailing_silence", "2.4").trim()),
0.0F);
EndpointRule rule2 =
new EndpointRule(
true,
Float.parseFloat(proMap.getOrDefault("rule2_min_trailing_silence", "1.2").trim()),
0.0F);
EndpointRule rule3 =
new EndpointRule(
false,
0.0F,
Float.parseFloat(proMap.getOrDefault("rule3_min_utterance_length", "20").trim()));
EndpointConfig endCfg = new EndpointConfig(rule1, rule2, rule3);
OnlineParaformerModelConfig modelParaCfg =
new OnlineParaformerModelConfig(
proMap.getOrDefault("encoder", "").trim(), proMap.getOrDefault("decoder", "").trim());
OnlineTransducerModelConfig modelTranCfg =
new OnlineTransducerModelConfig(
proMap.getOrDefault("encoder", "").trim(),
proMap.getOrDefault("decoder", "").trim(),
proMap.getOrDefault("joiner", "").trim());
OnlineZipformer2CtcModelConfig zipformer2CtcConfig = new OnlineZipformer2CtcModelConfig("");
OnlineModelConfig modelCfg =
new OnlineModelConfig(
proMap.getOrDefault("tokens", "").trim(),
Integer.parseInt(proMap.getOrDefault("num_threads", "4").trim()),
false,
proMap.getOrDefault("model_type", "zipformer").trim(),
modelParaCfg,
modelTranCfg);
FeatureConfig featConfig =
new FeatureConfig(
sampleRate, Integer.parseInt(proMap.getOrDefault("feature_dim", "80").trim()));
OnlineModelConfig modelCfg =
new OnlineModelConfig(
proMap.getOrDefault("tokens", "").trim(),
Integer.parseInt(proMap.getOrDefault("num_threads", "4").trim()),
false,
proMap.getOrDefault("model_type", "zipformer").trim(),
modelParaCfg,
modelTranCfg, zipformer2CtcConfig);
FeatureConfig featConfig =
new FeatureConfig(
sampleRate, Integer.parseInt(proMap.getOrDefault("feature_dim", "80").trim()));
OnlineLMConfig onlineLmConfig =
new OnlineLMConfig(
proMap.getOrDefault("lm_model", "").trim(),
Float.parseFloat(proMap.getOrDefault("lm_scale", "0.5").trim()));
OnlineLMConfig onlineLmConfig =
new OnlineLMConfig(
proMap.getOrDefault("lm_model", "").trim(),
Float.parseFloat(proMap.getOrDefault("lm_scale", "0.5").trim()));
OnlineRecognizerConfig rcgCfg =
new OnlineRecognizerConfig(
featConfig,
modelCfg,
endCfg,
onlineLmConfig,
Boolean.parseBoolean(proMap.getOrDefault("enable_endpoint_detection", "true").trim()),
proMap.getOrDefault("decoding_method", "modified_beam_search").trim(),
Integer.parseInt(proMap.getOrDefault("max_active_paths", "4").trim()),
proMap.getOrDefault("hotwords_file", "").trim(),
Float.parseFloat(proMap.getOrDefault("hotwords_score", "1.5").trim()));
// create a new Recognizer, first parameter kept for android asset_manager ANDROID_API__ >= 9
this.ptr = createOnlineRecognizer(assetManager, rcgCfg);
OnlineRecognizerConfig rcgCfg =
new OnlineRecognizerConfig(
featConfig,
modelCfg,
endCfg,
onlineLmConfig,
Boolean.parseBoolean(proMap.getOrDefault("enable_endpoint_detection", "true").trim()),
proMap.getOrDefault("decoding_method", "modified_beam_search").trim(),
Integer.parseInt(proMap.getOrDefault("max_active_paths", "4").trim()),
proMap.getOrDefault("hotwords_file", "").trim(),
Float.parseFloat(proMap.getOrDefault("hotwords_score", "1.5").trim()));
// create a new Recognizer, first parameter kept for android asset_manager ANDROID_API__ >= 9
this.ptr = createOnlineRecognizer(assetManager, rcgCfg);
} catch (Exception e) {
System.err.println(e);
} catch (Exception e) {
System.err.println(e);
}
}
}
// set onlineRecognizer by parameter
public OnlineRecognizer(
String tokens,
String encoder,
String decoder,
String joiner,
int numThreads,
int sampleRate,
int featureDim,
boolean enableEndpointDetection,
float rule1MinTrailingSilence,
float rule2MinTrailingSilence,
float rule3MinUtteranceLength,
String decodingMethod,
String lm_model,
float lm_scale,
int maxActivePaths,
String hotwordsFile,
float hotwordsScore,
String modelType) {
this.sampleRate = sampleRate;
EndpointRule rule1 = new EndpointRule(false, rule1MinTrailingSilence, 0.0F);
EndpointRule rule2 = new EndpointRule(true, rule2MinTrailingSilence, 0.0F);
EndpointRule rule3 = new EndpointRule(false, 0.0F, rule3MinUtteranceLength);
EndpointConfig endCfg = new EndpointConfig(rule1, rule2, rule3);
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 =
new OnlineRecognizerConfig(
featConfig,
modelCfg,
endCfg,
onlineLmConfig,
enableEndpointDetection,
decodingMethod,
maxActivePaths,
hotwordsFile,
hotwordsScore);
// create a new Recognizer, first parameter kept for android asset_manager ANDROID_API__ >= 9
this.ptr = createOnlineRecognizer(new Object(), rcgCfg);
}
private Map<String, String> readProperties(String modelCfgPath) {
// read and parse config file
Properties props = new Properties();
Map<String, String> proMap = new HashMap<>();
try {
File file = new File(modelCfgPath);
if (!file.exists()) {
System.out.println("model cfg file not exists!");
System.exit(0);
}
InputStream in = new BufferedInputStream(new FileInputStream(modelCfgPath));
props.load(in);
Enumeration en = props.propertyNames();
while (en.hasMoreElements()) {
String key = (String) en.nextElement();
String Property = props.getProperty(key);
proMap.put(key, Property);
}
} catch (Exception e) {
e.printStackTrace();
// set onlineRecognizer by parameter
public OnlineRecognizer(
String tokens,
String encoder,
String decoder,
String joiner,
int numThreads,
int sampleRate,
int featureDim,
boolean enableEndpointDetection,
float rule1MinTrailingSilence,
float rule2MinTrailingSilence,
float rule3MinUtteranceLength,
String decodingMethod,
String lm_model,
float lm_scale,
int maxActivePaths,
String hotwordsFile,
float hotwordsScore,
String modelType) {
this.sampleRate = sampleRate;
EndpointRule rule1 = new EndpointRule(false, rule1MinTrailingSilence, 0.0F);
EndpointRule rule2 = new EndpointRule(true, rule2MinTrailingSilence, 0.0F);
EndpointRule rule3 = new EndpointRule(false, 0.0F, rule3MinUtteranceLength);
EndpointConfig endCfg = new EndpointConfig(rule1, rule2, rule3);
OnlineParaformerModelConfig modelParaCfg = new OnlineParaformerModelConfig(encoder, decoder);
OnlineTransducerModelConfig modelTranCfg =
new OnlineTransducerModelConfig(encoder, decoder, joiner);
OnlineZipformer2CtcModelConfig zipformer2CtcConfig = new OnlineZipformer2CtcModelConfig("");
OnlineModelConfig modelCfg =
new OnlineModelConfig(tokens, numThreads, false, modelType, modelParaCfg, modelTranCfg, zipformer2CtcConfig);
FeatureConfig featConfig = new FeatureConfig(sampleRate, featureDim);
OnlineLMConfig onlineLmConfig = new OnlineLMConfig(lm_model, lm_scale);
OnlineRecognizerConfig rcgCfg =
new OnlineRecognizerConfig(
featConfig,
modelCfg,
endCfg,
onlineLmConfig,
enableEndpointDetection,
decodingMethod,
maxActivePaths,
hotwordsFile,
hotwordsScore);
// create a new Recognizer, first parameter kept for android asset_manager ANDROID_API__ >= 9
this.ptr = createOnlineRecognizer(new Object(), rcgCfg);
}
return proMap;
}
public void decodeStream(OnlineStream s) throws Exception {
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
long streamPtr = s.getPtr();
if (streamPtr == 0) throw new Exception("null exception for stream ptr");
// when feeded samples to engine, call DecodeStream to let it process
decodeStream(this.ptr, streamPtr);
}
public static float[] readWavFile(String fileName) {
// read data from the filename
Object[] wavdata = readWave(fileName);
Object data = wavdata[0]; // data[0] is float data, data[1] sample rate
public void decodeStreams(OnlineStream[] ssOjb) throws Exception {
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
// decode for multiple streams
long[] ss = new long[ssOjb.length];
for (int i = 0; i < ssOjb.length; i++) {
ss[i] = ssOjb[i].getPtr();
if (ss[i] == 0) throw new Exception("null exception for stream ptr");
float[] floatData = (float[]) data;
return floatData;
}
decodeStreams(this.ptr, ss);
}
public boolean isReady(OnlineStream s) throws Exception {
// whether the engine is ready for decode
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
long streamPtr = s.getPtr();
if (streamPtr == 0) throw new Exception("null exception for stream ptr");
return isReady(this.ptr, streamPtr);
}
// load the libsherpa-onnx-jni.so lib
public static void loadSoLib(String soPath) {
// load libsherpa-onnx-jni.so lib from the path
public String getResult(OnlineStream s) throws Exception {
// get text from the engine
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
long streamPtr = s.getPtr();
if (streamPtr == 0) throw new Exception("null exception for stream ptr");
return getResult(this.ptr, streamPtr);
}
System.out.println("so lib path=" + soPath + "\n");
System.load(soPath.trim());
System.out.println("load so lib succeed\n");
}
public boolean isEndpoint(OnlineStream s) throws Exception {
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
long streamPtr = s.getPtr();
if (streamPtr == 0) throw new Exception("null exception for stream ptr");
return isEndpoint(this.ptr, streamPtr);
}
public static void setSoPath(String soPath) {
OnlineRecognizer.loadSoLib(soPath);
OnlineStream.loadSoLib(soPath);
}
public void reSet(OnlineStream s) throws Exception {
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
long streamPtr = s.getPtr();
if (streamPtr == 0) throw new Exception("null exception for stream ptr");
reSet(this.ptr, streamPtr);
}
private static native Object[] readWave(String fileName); // static
public OnlineStream createStream() throws Exception {
// create one stream for data to feed in
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
long streamPtr = createStream(this.ptr);
OnlineStream stream = new OnlineStream(streamPtr, this.sampleRate);
return stream;
}
private Map<String, String> readProperties(String modelCfgPath) {
// read and parse config file
Properties props = new Properties();
Map<String, String> proMap = new HashMap<>();
try {
File file = new File(modelCfgPath);
if (!file.exists()) {
System.out.println("model cfg file not exists!");
System.exit(0);
}
InputStream in = new BufferedInputStream(new FileInputStream(modelCfgPath));
props.load(in);
Enumeration en = props.propertyNames();
while (en.hasMoreElements()) {
String key = (String) en.nextElement();
String Property = props.getProperty(key);
proMap.put(key, Property);
}
public static float[] readWavFile(String fileName) {
// read data from the filename
Object[] wavdata = readWave(fileName);
Object data = wavdata[0]; // data[0] is float data, data[1] sample rate
} catch (Exception e) {
e.printStackTrace();
}
return proMap;
}
float[] floatData = (float[]) data;
public void decodeStream(OnlineStream s) throws Exception {
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
long streamPtr = s.getPtr();
if (streamPtr == 0) throw new Exception("null exception for stream ptr");
// when feeded samples to engine, call DecodeStream to let it process
decodeStream(this.ptr, streamPtr);
}
return floatData;
}
public void decodeStreams(OnlineStream[] ssOjb) throws Exception {
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
// decode for multiple streams
long[] ss = new long[ssOjb.length];
for (int i = 0; i < ssOjb.length; i++) {
ss[i] = ssOjb[i].getPtr();
if (ss[i] == 0) throw new Exception("null exception for stream ptr");
}
decodeStreams(this.ptr, ss);
}
// load the libsherpa-onnx-jni.so lib
public static void loadSoLib(String soPath) {
// load libsherpa-onnx-jni.so lib from the path
public boolean isReady(OnlineStream s) throws Exception {
// whether the engine is ready for decode
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
long streamPtr = s.getPtr();
if (streamPtr == 0) throw new Exception("null exception for stream ptr");
return isReady(this.ptr, streamPtr);
}
System.out.println("so lib path=" + soPath + "\n");
System.load(soPath.trim());
System.out.println("load so lib succeed\n");
}
public String getResult(OnlineStream s) throws Exception {
// get text from the engine
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
long streamPtr = s.getPtr();
if (streamPtr == 0) throw new Exception("null exception for stream ptr");
return getResult(this.ptr, streamPtr);
}
public static void setSoPath(String soPath) {
OnlineRecognizer.loadSoLib(soPath);
OnlineStream.loadSoLib(soPath);
}
public boolean isEndpoint(OnlineStream s) throws Exception {
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
long streamPtr = s.getPtr();
if (streamPtr == 0) throw new Exception("null exception for stream ptr");
return isEndpoint(this.ptr, streamPtr);
}
protected void finalize() throws Throwable {
release();
}
public void reSet(OnlineStream s) throws Exception {
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
long streamPtr = s.getPtr();
if (streamPtr == 0) throw new Exception("null exception for stream ptr");
reSet(this.ptr, streamPtr);
}
// recognizer release, you'd better call it manually if not use anymore
public void release() {
if (this.ptr == 0) return;
deleteOnlineRecognizer(this.ptr);
this.ptr = 0;
}
public OnlineStream createStream() throws Exception {
// create one stream for data to feed in
if (this.ptr == 0) throw new Exception("null exception for recognizer ptr");
long streamPtr = createStream(this.ptr);
OnlineStream stream = new OnlineStream(streamPtr, this.sampleRate);
return stream;
}
// stream release, you'd better call it manually if not use anymore
public void releaseStream(OnlineStream s) {
s.release();
}
protected void finalize() throws Throwable {
release();
}
// JNI interface libsherpa-onnx-jni.so
// recognizer release, you'd better call it manually if not use anymore
public void release() {
if (this.ptr == 0) return;
deleteOnlineRecognizer(this.ptr);
this.ptr = 0;
}
private static native Object[] readWave(String fileName); // static
// JNI interface libsherpa-onnx-jni.so
private native String getResult(long ptr, long streamPtr);
// stream release, you'd better call it manually if not use anymore
public void releaseStream(OnlineStream s) {
s.release();
}
private native void decodeStream(long ptr, long streamPtr);
private native String getResult(long ptr, long streamPtr);
private native void decodeStreams(long ptr, long[] ssPtr);
private native void decodeStream(long ptr, long streamPtr);
private native boolean isReady(long ptr, long streamPtr);
private native void decodeStreams(long ptr, long[] ssPtr);
// first parameter keep for android asset_manager ANDROID_API__ >= 9
private native long createOnlineRecognizer(Object asset, OnlineRecognizerConfig config);
private native boolean isReady(long ptr, long streamPtr);
private native long createStream(long ptr);
// first parameter keep for android asset_manager ANDROID_API__ >= 9
private native long createOnlineRecognizer(Object asset, OnlineRecognizerConfig config);
private native void deleteOnlineRecognizer(long ptr);
private native long createStream(long ptr);
private native boolean isEndpoint(long ptr, long streamPtr);
private native void deleteOnlineRecognizer(long ptr);
private native void reSet(long ptr, long streamPtr);
private native boolean isEndpoint(long ptr, long streamPtr);
private native void reSet(long ptr, long streamPtr);
}