NonStreamingDecodeFileNemoCanary.java
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// Copyright 2024 Xiaomi Corporation
// This file shows how to use an offline NeMo Canary model, i.e.,
// non-streaming NeMo Canary model, to decode files.
import com.k2fsa.sherpa.onnx.*;
public class NonStreamingDecodeFileNemoCanary {
public static void main(String[] args) {
// please refer to
// https://k2-fsa.github.io/sherpa/onnx/nemo/canary.html
// to download model files
String encoder = "./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/encoder.int8.onnx";
String decoder = "./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/decoder.int8.onnx";
String tokens = "./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/tokens.txt";
String waveFilename = "./sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/test_wavs/en.wav";
WaveReader reader = new WaveReader(waveFilename);
OfflineCanaryModelConfig canary =
OfflineCanaryModelConfig.builder()
.setEncoder(encoder)
.setDecoder(decoder)
.setSrcLang("en")
.setTgtLang("en")
.setUsePnc(true)
.build();
OfflineModelConfig modelConfig =
OfflineModelConfig.builder()
.setCanary(canary)
.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(English):%s\n", waveFilename, text);
stream.release();
recognizer.release();
}
}