Files
sherpa-onnx/java-api-examples/NonStreamingDecodeFileFunAsrNano.java

60 lines
2.0 KiB
Java

// Copyright 2026 Xiaomi Corporation
// This file shows how to use an offline FunASR Nano model,
// i.e., non-streaming FunASR Nano model,
// to decode files.
import com.k2fsa.sherpa.onnx.*;
public class NonStreamingDecodeFileFunAsrNano {
public static void main(String[] args) {
// please refer to
// https://k2-fsa.github.io/sherpa/onnx/funasr-nano/index.html
// to download model files
String encoderAdaptor = "./sherpa-onnx-funasr-nano-int8-2025-12-30/encoder_adaptor.int8.onnx";
String llm = "./sherpa-onnx-funasr-nano-int8-2025-12-30/llm.int8.onnx";
String embedding = "./sherpa-onnx-funasr-nano-int8-2025-12-30/embedding.int8.onnx";
String tokenizer = "./sherpa-onnx-funasr-nano-int8-2025-12-30/Qwen3-0.6B";
String tokens = "";
String waveFilename = "./sherpa-onnx-funasr-nano-int8-2025-12-30/test_wavs/lyrics.wav";
WaveReader reader = new WaveReader(waveFilename);
OfflineFunAsrNanoModelConfig funasrNano =
OfflineFunAsrNanoModelConfig.builder()
.setEncoderAdaptor(encoderAdaptor)
.setLLM(llm)
.setEmbedding(embedding)
.setTokenizer(tokenizer)
.build();
OfflineModelConfig modelConfig =
OfflineModelConfig.builder()
.setFunAsrNano(funasrNano)
.setTokens(tokens)
.setNumThreads(1)
.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();
}
}