Add Java API for non-streaming ASR (#807)

This commit is contained in:
Fangjun Kuang
2024-04-24 21:03:26 +08:00
committed by GitHub
parent c3a2e8a67c
commit 83cd533f67
24 changed files with 834 additions and 27 deletions

View File

@@ -0,0 +1,49 @@
// Copyright 2024 Xiaomi Corporation
// This file shows how to use an offline paraformer, i.e., non-streaming paraformer,
// to decode files.
import com.k2fsa.sherpa.onnx.*;
public class NonStreamingDecodeFileTransducer {
public static void main(String[] args) {
// please refer to
// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-paraformer/paraformer-models.html#csukuangfj-sherpa-onnx-paraformer-zh-2023-03-28-chinese-english
// to download model files
String model = "./sherpa-onnx-paraformer-zh-2023-03-28/model.int8.onnx";
String tokens = "./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt";
String waveFilename = "./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/3-sichuan.wav";
WaveReader reader = new WaveReader(waveFilename);
OfflineParaformerModelConfig paraformer =
OfflineParaformerModelConfig.builder().setModel(model).build();
OfflineModelConfig modelConfig =
OfflineModelConfig.builder()
.setParaformer(paraformer)
.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();
}
}