Fix #608 (#610)

Fix java tests.

+lib
+hs_err*

@@ -9,10 +9,11 @@ LIB_FILES = \
 	$(LIB_SRC_DIR)/OnlineLMConfig.java \
 	$(LIB_SRC_DIR)/OnlineTransducerModelConfig.java \
 	$(LIB_SRC_DIR)/OnlineParaformerModelConfig.java \
+	$(LIB_SRC_DIR)/OnlineZipformer2CtcModelConfig.java \
 	$(LIB_SRC_DIR)/OnlineModelConfig.java \
 	$(LIB_SRC_DIR)/OnlineRecognizerConfig.java \
 	$(LIB_SRC_DIR)/OnlineStream.java \
-	$(LIB_SRC_DIR)/OnlineRecognizer.java \
+	$(LIB_SRC_DIR)/OnlineRecognizer.java
 
 WEBSOCKET_DIR:= ./src/websocketsrv
 WEBSOCKET_FILES = \
@@ -42,10 +43,10 @@ vpath %.java src
 
 
 buildfile:
-		$(JAVAC) -cp lib/sherpaonnx.jar -d $(BUILD_DIR) -encoding UTF-8 src/$(EXAMPLE_FILE)
+	$(JAVAC) -cp lib/sherpaonnx.jar -d $(BUILD_DIR) -encoding UTF-8 src/$(EXAMPLE_FILE)
 
 buildmic:
-		$(JAVAC) -cp lib/sherpaonnx.jar -d $(BUILD_DIR) -encoding UTF-8 src/$(EXAMPLE_Mic)
+	$(JAVAC) -cp lib/sherpaonnx.jar -d $(BUILD_DIR) -encoding UTF-8 src/$(EXAMPLE_Mic)
 
 rebuild: clean all
 
@@ -63,8 +64,8 @@ clean:
 	mkdir -p $(BUILD_DIR)
 	mkdir -p ./lib
 
-runfile:
-		java -cp ./lib/sherpaonnx.jar:build $(RUNJFLAGS)  DecodeFile test.wav
+runfile: packjar buildfile
+	java -cp ./lib/sherpaonnx.jar:build $(RUNJFLAGS)  DecodeFile test.wav
 
 runhotwords:
 		java -cp ./lib/sherpaonnx.jar:build $(RUNJFLAGS)  DecodeFile hotwords.wav
@@ -85,8 +86,7 @@ buildlib: $(LIB_FILES:.java=.class)
 
 
 %.class: %.java
-
-				$(JAVAC) -cp $(BUILD_DIR) -d $(BUILD_DIR) -encoding UTF-8 $<
+	$(JAVAC) -cp $(BUILD_DIR) -d $(BUILD_DIR) -encoding UTF-8 $<
 
 buildwebsocket: $(WEBSOCKET_FILES:.java=.class)
 
@@ -95,7 +95,7 @@ buildwebsocket: $(WEBSOCKET_FILES:.java=.class)
 
 				$(JAVAC) -cp $(BUILD_DIR):lib/slf4j-simple-1.7.25.jar:lib/slf4j-api-1.7.25.jar:lib/Java-WebSocket-1.5.3.jar:../lib/sherpaonnx.jar -d $(BUILD_DIR) -encoding UTF-8 $<
 
-packjar:
-				jar cvfe lib/sherpaonnx.jar . -C $(BUILD_DIR) .
+packjar: buildlib
+	jar cvfe lib/sherpaonnx.jar . -C $(BUILD_DIR) .
 
 all: clean buildlib packjar buildfile buildmic downjar buildwebsocket

+.idea
+java-api.iml

@@ -5,25 +5,25 @@
 package com.k2fsa.sherpa.onnx;
 
 public class EndpointConfig {
-  private final EndpointRule rule1;
-  private final EndpointRule rule2;
-  private final EndpointRule rule3;
+    private final EndpointRule rule1;
+    private final EndpointRule rule2;
+    private final EndpointRule rule3;
 
-  public EndpointConfig(EndpointRule rule1, EndpointRule rule2, EndpointRule rule3) {
-    this.rule1 = rule1;
-    this.rule2 = rule2;
-    this.rule3 = rule3;
-  }
+    public EndpointConfig(EndpointRule rule1, EndpointRule rule2, EndpointRule rule3) {
+        this.rule1 = rule1;
+        this.rule2 = rule2;
+        this.rule3 = rule3;
+    }
 
-  public EndpointRule getRule1() {
-    return rule1;
-  }
+    public EndpointRule getRule1() {
+        return rule1;
+    }
 
-  public EndpointRule getRule2() {
-    return rule2;
-  }
+    public EndpointRule getRule2() {
+        return rule2;
+    }
 
-  public EndpointRule getRule3() {
-    return rule3;
-  }
+    public EndpointRule getRule3() {
+        return rule3;
+    }
 }

@@ -5,26 +5,26 @@
 package com.k2fsa.sherpa.onnx;
 
 public class EndpointRule {
-  private final boolean mustContainNonSilence;
-  private final float minTrailingSilence;
-  private final float minUtteranceLength;
+    private final boolean mustContainNonSilence;
+    private final float minTrailingSilence;
+    private final float minUtteranceLength;
 
-  public EndpointRule(
-      boolean mustContainNonSilence, float minTrailingSilence, float minUtteranceLength) {
-    this.mustContainNonSilence = mustContainNonSilence;
-    this.minTrailingSilence = minTrailingSilence;
-    this.minUtteranceLength = minUtteranceLength;
-  }
+    public EndpointRule(
+            boolean mustContainNonSilence, float minTrailingSilence, float minUtteranceLength) {
+        this.mustContainNonSilence = mustContainNonSilence;
+        this.minTrailingSilence = minTrailingSilence;
+        this.minUtteranceLength = minUtteranceLength;
+    }
 
-  public float getMinTrailingSilence() {
-    return minTrailingSilence;
-  }
+    public float getMinTrailingSilence() {
+        return minTrailingSilence;
+    }
 
-  public float getMinUtteranceLength() {
-    return minUtteranceLength;
-  }
+    public float getMinUtteranceLength() {
+        return minUtteranceLength;
+    }
 
-  public boolean getMustContainNonSilence() {
-    return mustContainNonSilence;
-  }
+    public boolean getMustContainNonSilence() {
+        return mustContainNonSilence;
+    }
 }

@@ -5,19 +5,19 @@
 package com.k2fsa.sherpa.onnx;
 
 public class FeatureConfig {
-  private final int sampleRate;
-  private final int featureDim;
+    private final int sampleRate;
+    private final int featureDim;
 
-  public FeatureConfig(int sampleRate, int featureDim) {
-    this.sampleRate = sampleRate;
-    this.featureDim = featureDim;
-  }
+    public FeatureConfig(int sampleRate, int featureDim) {
+        this.sampleRate = sampleRate;
+        this.featureDim = featureDim;
+    }
 
-  public int getSampleRate() {
-    return sampleRate;
-  }
+    public int getSampleRate() {
+        return sampleRate;
+    }
 
-  public int getFeatureDim() {
-    return featureDim;
-  }
+    public int getFeatureDim() {
+        return featureDim;
+    }
 }

@@ -5,19 +5,19 @@
 package com.k2fsa.sherpa.onnx;
 
 public class OnlineLMConfig {
-  private final String model;
-  private final float scale;
+    private final String model;
+    private final float scale;
 
-  public OnlineLMConfig(String model, float scale) {
-    this.model = model;
-    this.scale = scale;
-  }
+    public OnlineLMConfig(String model, float scale) {
+        this.model = model;
+        this.scale = scale;
+    }
 
-  public String getModel() {
-    return model;
-  }
+    public String getModel() {
+        return model;
+    }
 
-  public float getScale() {
-    return scale;
-  }
+    public float getScale() {
+        return scale;
+    }
 }

@@ -5,47 +5,51 @@
 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;
-  }
+    private final OnlineParaformerModelConfig paraformer;
+    private final OnlineTransducerModelConfig transducer;
+    private final OnlineZipformer2CtcModelConfig zipformer2Ctc;
+    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,
+            OnlineZipformer2CtcModelConfig zipformer2Ctc
+            ) {
+
+        this.tokens = tokens;
+        this.numThreads = numThreads;
+        this.debug = debug;
+        this.modelType = modelType;
+        this.paraformer = paraformer;
+        this.transducer = transducer;
+        this.zipformer2Ctc = zipformer2Ctc;
+    }
+
+    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;
+    }
 }

@@ -5,19 +5,19 @@
 package com.k2fsa.sherpa.onnx;
 
 public class OnlineParaformerModelConfig {
-  private final String encoder;
-  private final String decoder;
+    private final String encoder;
+    private final String decoder;
 
-  public OnlineParaformerModelConfig(String encoder, String decoder) {
-    this.encoder = encoder;
-    this.decoder = decoder;
-  }
+    public OnlineParaformerModelConfig(String encoder, String decoder) {
+        this.encoder = encoder;
+        this.decoder = decoder;
+    }
 
-  public String getEncoder() {
-    return encoder;
-  }
+    public String getEncoder() {
+        return encoder;
+    }
 
-  public String getDecoder() {
-    return decoder;
-  }
+    public String getDecoder() {
+        return decoder;
+    }
 }

@@ -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 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);
-
-      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()));
-
-      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);
+    private long ptr = 0; // this is the asr engine ptrss
+
+    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);
+
+            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);
+
+        } 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());
-
-      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()));
-
-      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);
+
+    // 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, 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(assetManager, rcgCfg);
+
+        } 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 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");
+
+    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
+
+        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
+
+    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 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;
-  }
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+        return proMap;
+    }
 
-  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 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);
+    }
 
-    float[] floatData = (float[]) data;
+    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);
+    }
 
-    return floatData;
-  }
+    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);
+    }
 
-  protected void finalize() throws Throwable {
-    release();
-  }
+    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;
+    }
 
-  // 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;
-  }
+    protected void finalize() throws Throwable {
+        release();
+    }
 
-  // stream release, you'd better call it manually if not use anymore
-  public void releaseStream(OnlineStream s) {
-    s.release();
-  }
+    // 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;
+    }
 
-  // JNI interface libsherpa-onnx-jni.so
+    // JNI interface libsherpa-onnx-jni.so
 
-  private static native Object[] readWave(String fileName); // static
+    // stream release, you'd better call it manually if not use anymore
+    public void releaseStream(OnlineStream s) {
+        s.release();
+    }
 
-  private native String getResult(long ptr, long streamPtr);
+    private native String getResult(long ptr, long streamPtr);
 
-  private native void decodeStream(long ptr, long streamPtr);
+    private native void decodeStream(long ptr, long streamPtr);
 
-  private native void decodeStreams(long ptr, long[] ssPtr);
+    private native void decodeStreams(long ptr, long[] ssPtr);
 
-  private native boolean isReady(long ptr, long streamPtr);
+    private native boolean isReady(long ptr, long streamPtr);
 
-  // first parameter keep for android asset_manager ANDROID_API__ >= 9
-  private native long createOnlineRecognizer(Object asset, OnlineRecognizerConfig config);
+    // first parameter keep for android asset_manager ANDROID_API__ >= 9
+    private native long createOnlineRecognizer(Object asset, OnlineRecognizerConfig config);
 
-  private native long createStream(long ptr);
+    private native long createStream(long ptr);
 
-  private native void deleteOnlineRecognizer(long ptr);
+    private native void deleteOnlineRecognizer(long ptr);
 
-  private native boolean isEndpoint(long ptr, long streamPtr);
+    private native boolean isEndpoint(long ptr, long streamPtr);
 
-  private native void reSet(long ptr, long streamPtr);
+    private native void reSet(long ptr, long streamPtr);
 }

@@ -5,62 +5,62 @@
 package com.k2fsa.sherpa.onnx;
 
 public class OnlineRecognizerConfig {
-  private final FeatureConfig featConfig;
-  private final OnlineModelConfig modelConfig;
-  private final EndpointConfig endpointConfig;
-  private final OnlineLMConfig lmConfig;
-  private final boolean enableEndpoint;
-  private final String decodingMethod;
-  private final int maxActivePaths;
-  private final String hotwordsFile;
-  private final float hotwordsScore;
+    private final FeatureConfig featConfig;
+    private final OnlineModelConfig modelConfig;
+    private final EndpointConfig endpointConfig;
+    private final OnlineLMConfig lmConfig;
+    private final boolean enableEndpoint;
+    private final String decodingMethod;
+    private final int maxActivePaths;
+    private final String hotwordsFile;
+    private final float hotwordsScore;
 
-  public OnlineRecognizerConfig(
-      FeatureConfig featConfig,
-      OnlineModelConfig modelConfig,
-      EndpointConfig endpointConfig,
-      OnlineLMConfig lmConfig,
-      boolean enableEndpoint,
-      String decodingMethod,
-      int maxActivePaths,
-      String hotwordsFile,
-      float hotwordsScore) {
-    this.featConfig = featConfig;
-    this.modelConfig = modelConfig;
-    this.endpointConfig = endpointConfig;
-    this.lmConfig = lmConfig;
-    this.enableEndpoint = enableEndpoint;
-    this.decodingMethod = decodingMethod;
-    this.maxActivePaths = maxActivePaths;
-    this.hotwordsFile = hotwordsFile;
-    this.hotwordsScore = hotwordsScore;
-  }
+    public OnlineRecognizerConfig(
+            FeatureConfig featConfig,
+            OnlineModelConfig modelConfig,
+            EndpointConfig endpointConfig,
+            OnlineLMConfig lmConfig,
+            boolean enableEndpoint,
+            String decodingMethod,
+            int maxActivePaths,
+            String hotwordsFile,
+            float hotwordsScore) {
+        this.featConfig = featConfig;
+        this.modelConfig = modelConfig;
+        this.endpointConfig = endpointConfig;
+        this.lmConfig = lmConfig;
+        this.enableEndpoint = enableEndpoint;
+        this.decodingMethod = decodingMethod;
+        this.maxActivePaths = maxActivePaths;
+        this.hotwordsFile = hotwordsFile;
+        this.hotwordsScore = hotwordsScore;
+    }
 
-  public OnlineLMConfig getLmConfig() {
-    return lmConfig;
-  }
+    public OnlineLMConfig getLmConfig() {
+        return lmConfig;
+    }
 
-  public FeatureConfig getFeatConfig() {
-    return featConfig;
-  }
+    public FeatureConfig getFeatConfig() {
+        return featConfig;
+    }
 
-  public OnlineModelConfig getModelConfig() {
-    return modelConfig;
-  }
+    public OnlineModelConfig getModelConfig() {
+        return modelConfig;
+    }
 
-  public EndpointConfig getEndpointConfig() {
-    return endpointConfig;
-  }
+    public EndpointConfig getEndpointConfig() {
+        return endpointConfig;
+    }
 
-  public boolean isEnableEndpoint() {
-    return enableEndpoint;
-  }
+    public boolean isEnableEndpoint() {
+        return enableEndpoint;
+    }
 
-  public String getDecodingMethod() {
-    return decodingMethod;
-  }
+    public String getDecodingMethod() {
+        return decodingMethod;
+    }
 
-  public int getMaxActivePaths() {
-    return maxActivePaths;
-  }
+    public int getMaxActivePaths() {
+        return maxActivePaths;
+    }
 }

@@ -4,83 +4,81 @@
 // Stream is used for feeding data to the asr engine
 package com.k2fsa.sherpa.onnx;
 
-import java.io.*;
-import java.util.*;
-
 public class OnlineStream {
-  private long ptr = 0; // this is the  stream ptr
+    private long ptr = 0; // this is the  stream ptr
+
+    private int sampleRate = 16000;
 
-  private int sampleRate = 16000;
-  // assign ptr to this stream in construction
-  public OnlineStream(long ptr, int sampleRate) {
-    this.ptr = ptr;
-    this.sampleRate = sampleRate;
-  }
+    // assign ptr to this stream in construction
+    public OnlineStream(long ptr, int sampleRate) {
+        this.ptr = ptr;
+        this.sampleRate = sampleRate;
+    }
 
-  public long getPtr() {
-    return ptr;
-  }
+    public static void loadSoLib(String soPath) {
+        // load .so lib from the path
+        System.load(soPath.trim()); // ("sherpa-onnx-jni-java");
+    }
 
-  public void acceptWaveform(float[] samples) throws Exception {
-    if (this.ptr == 0) throw new Exception("null exception for stream ptr");
+    public long getPtr() {
+        return ptr;
+    }
 
-    // feed wave data to asr engine
-    acceptWaveform(this.ptr, this.sampleRate, samples);
-  }
+    public void acceptWaveform(float[] samples) throws Exception {
+        if (this.ptr == 0) throw new Exception("null exception for stream ptr");
 
-  public void inputFinished() {
-    // add some tail padding
-    int padLen = (int) (this.sampleRate * 0.3); // 0.3 seconds at 16 kHz sample rate
-    float tailPaddings[] = new float[padLen]; // default value is 0
-    acceptWaveform(this.ptr, this.sampleRate, tailPaddings);
+        // feed wave data to asr engine
+        acceptWaveform(this.ptr, this.sampleRate, samples);
+    }
 
-    // tell the engine all data are feeded
-    inputFinished(this.ptr);
-  }
+    public void inputFinished() {
+        // add some tail padding
+        int padLen = (int) (this.sampleRate * 0.3); // 0.3 seconds at 16 kHz sample rate
+        float[] tailPaddings = new float[padLen]; // default value is 0
+        acceptWaveform(this.ptr, this.sampleRate, tailPaddings);
 
-  public static void loadSoLib(String soPath) {
-    // load .so lib from the path
-    System.load(soPath.trim()); // ("sherpa-onnx-jni-java");
-  }
+        // tell the engine all data are feeded
+        inputFinished(this.ptr);
+    }
 
-  public void release() {
-    // stream object must be release after used
-    if (this.ptr == 0) return;
-    deleteStream(this.ptr);
-    this.ptr = 0;
-  }
+    public void release() {
+        // stream object must be release after used
+        if (this.ptr == 0) return;
+        deleteStream(this.ptr);
+        this.ptr = 0;
+    }
 
-  protected void finalize() throws Throwable {
-    release();
-  }
+    protected void finalize() throws Throwable {
+        release();
+    }
 
-  public boolean isLastFrame() throws Exception {
-    if (this.ptr == 0) throw new Exception("null exception for stream ptr");
-    return isLastFrame(this.ptr);
-  }
+    public boolean isLastFrame() throws Exception {
+        if (this.ptr == 0) throw new Exception("null exception for stream ptr");
+        return isLastFrame(this.ptr);
+    }
 
-  public void reSet() throws Exception {
-    if (this.ptr == 0) throw new Exception("null exception for stream ptr");
-    reSet(this.ptr);
-  }
+    public void reSet() throws Exception {
+        if (this.ptr == 0) throw new Exception("null exception for stream ptr");
+        reSet(this.ptr);
+    }
 
-  public int featureDim() throws Exception {
-    if (this.ptr == 0) throw new Exception("null exception for stream ptr");
-    return featureDim(this.ptr);
-  }
+    public int featureDim() throws Exception {
+        if (this.ptr == 0) throw new Exception("null exception for stream ptr");
+        return featureDim(this.ptr);
+    }
 
-  // JNI interface libsherpa-onnx-jni.so
-  private native void acceptWaveform(long ptr, int sampleRate, float[] samples);
+    // JNI interface libsherpa-onnx-jni.so
+    private native void acceptWaveform(long ptr, int sampleRate, float[] samples);
 
-  private native void inputFinished(long ptr);
+    private native void inputFinished(long ptr);
 
-  private native void deleteStream(long ptr);
+    private native void deleteStream(long ptr);
 
-  private native int numFramesReady(long ptr);
+    private native int numFramesReady(long ptr);
 
-  private native boolean isLastFrame(long ptr);
+    private native boolean isLastFrame(long ptr);
 
-  private native void reSet(long ptr);
+    private native void reSet(long ptr);
 
-  private native int featureDim(long ptr);
+    private native int featureDim(long ptr);
 }

@@ -5,25 +5,25 @@
 package com.k2fsa.sherpa.onnx;
 
 public class OnlineTransducerModelConfig {
-  private final String encoder;
-  private final String decoder;
-  private final String joiner;
+    private final String encoder;
+    private final String decoder;
+    private final String joiner;
 
-  public OnlineTransducerModelConfig(String encoder, String decoder, String joiner) {
-    this.encoder = encoder;
-    this.decoder = decoder;
-    this.joiner = joiner;
-  }
+    public OnlineTransducerModelConfig(String encoder, String decoder, String joiner) {
+        this.encoder = encoder;
+        this.decoder = decoder;
+        this.joiner = joiner;
+    }
 
-  public String getEncoder() {
-    return encoder;
-  }
+    public String getEncoder() {
+        return encoder;
+    }
 
-  public String getDecoder() {
-    return decoder;
-  }
+    public String getDecoder() {
+        return decoder;
+    }
 
-  public String getJoiner() {
-    return joiner;
-  }
+    public String getJoiner() {
+        return joiner;
+    }
 }

+package com.k2fsa.sherpa.onnx;
+
+public class OnlineZipformer2CtcModelConfig {
+    private final String model;
+
+    public OnlineZipformer2CtcModelConfig(String model) {
+        this.model = model;
+    }
+
+    public String getModel() {
+        return model;
+    }
+
+}

@@ -1522,8 +1522,8 @@ JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_SherpaOnnxOffline_delete(
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_SherpaOnnx_reset(
-    JNIEnv *env, jobject /*obj*/,
-    jlong ptr, jboolean recreate, jstring keywords) {
+    JNIEnv *env, jobject /*obj*/, jlong ptr, jboolean recreate,
+    jstring keywords) {
   auto model = reinterpret_cast<sherpa_onnx::SherpaOnnx *>(ptr);
   const char *p_keywords = env->GetStringUTFChars(keywords, nullptr);
   model->Reset(recreate, p_keywords);