mirror of
https://github.com/k2-fsa/sherpa-onnx.git
synced 2026-11-11 05:20:52 +08:00
Update language bindings for FireRedASR CTC models (#3224)
Added offline FireRedASR CTC model support with runnable examples and demos across all language bindings (C/C++, Dart, .NET, Flutter, Go, Java, Kotlin, Node.js, Pascal, Rust, Swift, WebAssembly).
This commit is contained in:
1 parent
cbe547a49c
commit
ad53853fea
73 files changed
+2151
-178
No files matched your search
@@ -0,0 +1,51 @@
|
||||
// Copyright 2025 Xiaomi Corporation
|
||||
|
||||
// This file shows how to use an offline FireRedASR CTC model,
|
||||
// i.e., non-streaming FireRedASR CTC model,
|
||||
// to decode files.
|
||||
import com.k2fsa.sherpa.onnx.*;
|
||||
|
||||
public class NonStreamingDecodeFileFireRedAsrCtc {
|
||||
public static void main(String[] args) {
|
||||
// please refer to
|
||||
// https://k2-fsa.github.io/sherpa/onnx/FireRedAsr/index.html
|
||||
// to download model files
|
||||
String model = "./sherpa-onnx-fire-red-asr2-ctc-zh_en-int8-2026-02-25/model.int8.onnx";
|
||||
|
||||
String tokens = "./sherpa-onnx-fire-red-asr2-ctc-zh_en-int8-2026-02-25/tokens.txt";
|
||||
|
||||
String waveFilename = "./sherpa-onnx-fire-red-asr2-ctc-zh_en-int8-2026-02-25/test_wavs/1.wav";
|
||||
|
||||
WaveReader reader = new WaveReader(waveFilename);
|
||||
|
||||
OfflineFireRedAsrCtcModelConfig medasr =
|
||||
OfflineFireRedAsrCtcModelConfig.builder().setModel(model).build();
|
||||
|
||||
OfflineModelConfig modelConfig =
|
||||
OfflineModelConfig.builder()
|
||||
.setFireRedAsrCtc(medasr)
|
||||
.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();
|
||||
}
|
||||
}
|
||||
Reference in new issue
Block a user