49 lines
1.8 KiB
Dart
49 lines
1.8 KiB
Dart
import 'dart:io';
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import 'package:flutter_test/flutter_test.dart';
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import 'package:kouyu_english/core/sherpa_stt_service.dart';
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import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
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void main() {
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TestWidgetsFlutterBinding.ensureInitialized();
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test('SenseVoice-Small ONNX transcribes WAV audio file accurately', () async {
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const macosDir = '/Users/shen/.pub-cache/hosted/pub.dev/sherpa_onnx_macos-1.13.8/macos';
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// Test direct Sherpa ASR initialization and decoding with SenseVoice
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sherpa_onnx.initBindings(macosDir);
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final modelConfig = sherpa_onnx.OfflineModelConfig(
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senseVoice: const sherpa_onnx.OfflineSenseVoiceModelConfig(
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model: 'assets/models/sense_voice/model.int8.onnx',
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language: 'auto',
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useInverseTextNormalization: true,
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),
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tokens: 'assets/models/sense_voice/tokens.txt',
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numThreads: 2,
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debug: false,
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);
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final recognizerConfig = sherpa_onnx.OfflineRecognizerConfig(
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model: modelConfig,
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feat: const sherpa_onnx.FeatureConfig(sampleRate: 16000, featureDim: 80),
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);
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final recognizer = sherpa_onnx.OfflineRecognizer(recognizerConfig);
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const testWave = '/tmp/sherpa_test/sherpa-onnx-zipformer-small-en-2023-06-26/test_wavs/0.wav';
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if (File(testWave).existsSync()) {
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final wave = sherpa_onnx.readWave(testWave);
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expect(wave.samples.isNotEmpty, isTrue);
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final stream = recognizer.createStream();
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stream.acceptWaveform(samples: wave.samples, sampleRate: wave.sampleRate);
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recognizer.decode(stream);
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final result = recognizer.getResult(stream);
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print("SenseVoice transcribed result: ${result.text}");
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expect(result.text.toLowerCase().contains("nightfall"), isTrue);
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stream.free();
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}
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recognizer.free();
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});
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}
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