Add Kotlin and Java API for FireRedAsr AED model (#1870)

java-api-examples/NonStreamingDecodeFileFireRedAsr.java

@@ -0,0 +1,50 @@
+// Copyright 2025 Xiaomi Corporation
+
+// This file shows how to use an offline FireRedAsr AED model
+// to decode files.
+import com.k2fsa.sherpa.onnx.*;
+
+public class NonStreamingDecodeFileFireRedAsr {
+  public static void main(String[] args) {
+    // please refer to
+    // https://k2-fsa.github.io/sherpa/onnx/pretrained_models/FireRedAsr/index.html
+    // to download model files
+    String encoder = "./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/encoder.int8.onnx";
+    String decoder = "./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/decoder.int8.onnx";
+    String tokens = "./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/tokens.txt";
+
+    String waveFilename = "./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/test_wavs/0.wav";
+
+    WaveReader reader = new WaveReader(waveFilename);
+
+    OfflineFireRedAsrModelConfig fireRedAsr =
+        OfflineFireRedAsrModelConfig.builder().setEncoder(encoder).setDecoder(decoder).build();
+
+    OfflineModelConfig modelConfig =
+        OfflineModelConfig.builder()
+            .setFireRedAsr(fireRedAsr)
+            .setTokens(tokens)
+            .setNumThreads(2)
+            .setDebug(true)
+            .build();
+
+    OfflineRecognizerConfig config =
+        OfflineRecognizerConfig.builder()
+            .setOfflineModelConfig(modelConfig)
+            .setDecodingMethod("greedy_search")
+            .build();
+
+    OfflineRecognizer recognizer = new OfflineRecognizer(config);
+    OfflineStream stream = recognizer.createStream();
+    stream.acceptWaveform(reader.getSamples(), reader.getSampleRate());
+
+    recognizer.decode(stream);
+
+    String text = recognizer.getResult(stream).getText();
+
+    System.out.printf("filename:%s\nresult:%s\n", waveFilename, text);
+
+    stream.release();
+    recognizer.release();
+  }
+}

java-api-examples/run-non-streaming-decode-file-fire-red-asr.sh

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+#!/usr/bin/env bash
+
+set -ex
+
+if [[ ! -f ../build/lib/libsherpa-onnx-jni.dylib  && ! -f ../build/lib/libsherpa-onnx-jni.so ]]; then
+  mkdir -p ../build
+  pushd ../build
+  cmake \
+    -DSHERPA_ONNX_ENABLE_PYTHON=OFF \
+    -DSHERPA_ONNX_ENABLE_TESTS=OFF \
+    -DSHERPA_ONNX_ENABLE_CHECK=OFF \
+    -DBUILD_SHARED_LIBS=ON \
+    -DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
+    -DSHERPA_ONNX_ENABLE_JNI=ON \
+    ..
+
+  make -j4
+  ls -lh lib
+  popd
+fi
+
+if [ ! -f ../sherpa-onnx/java-api/build/sherpa-onnx.jar ]; then
+  pushd ../sherpa-onnx/java-api
+  make
+  popd
+fi
+
+if [ ! -f ./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/encoder.int8.onnx ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16.tar.bz2
+  tar xvf sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16.tar.bz2
+  rm sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16.tar.bz2
+  ls -lh sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16
+fi
+
+java \
+  -Djava.library.path=$PWD/../build/lib \
+  -cp ../sherpa-onnx/java-api/build/sherpa-onnx.jar \
+  NonStreamingDecodeFileFireRedAsr.java