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feat: upgrade local speech recognition engine to SenseVoice-Small with hardware audio enhancements

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shen
2026-09-15 22:36:10 +08:00
parent be5075fa3d
commit 042e867521
10 changed files with 25090 additions and 532 deletions
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kouyu_english/test/sherpa_stt_test.dart
+9 -10
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@@ -1,5 +1,4 @@
import 'dart:io';
import 'dart:typed_data';
import 'package:flutter_test/flutter_test.dart';
import 'package:kouyu_english/core/sherpa_stt_service.dart';
import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
@@ -7,19 +6,19 @@ import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
void main() {
TestWidgetsFlutterBinding.ensureInitialized();
test('SherpaSttService transcribes WAV audio file accurately', () async {
test('SenseVoice-Small ONNX transcribes WAV audio file accurately', () async {
const macosDir = '/Users/shen/.pub-cache/hosted/pub.dev/sherpa_onnx_macos-1.13.8/macos';
// Test direct Sherpa ASR initialization and decoding with bundled test audio
// Test direct Sherpa ASR initialization and decoding with SenseVoice
sherpa_onnx.initBindings(macosDir);
final modelConfig = sherpa_onnx.OfflineModelConfig(
transducer: const sherpa_onnx.OfflineTransducerModelConfig(
encoder: 'assets/models/sherpa/encoder-epoch-99-avg-1.int8.onnx',
decoder: 'assets/models/sherpa/decoder-epoch-99-avg-1.int8.onnx',
joiner: 'assets/models/sherpa/joiner-epoch-99-avg-1.int8.onnx',
senseVoice: const sherpa_onnx.OfflineSenseVoiceModelConfig(
model: 'assets/models/sense_voice/model.int8.onnx',
language: 'auto',
useInverseTextNormalization: true,
),
tokens: 'assets/models/sherpa/tokens.txt',
tokens: 'assets/models/sense_voice/tokens.txt',
numThreads: 2,
debug: false,
);
@@ -40,8 +39,8 @@ void main() {
stream.acceptWaveform(samples: wave.samples, sampleRate: wave.sampleRate);
recognizer.decode(stream);
final result = recognizer.getResult(stream);
print("Transcribed result: ${result.text}");
expect(result.text.contains("NIGHTFALL"), isTrue);
print("SenseVoice transcribed result: ${result.text}");
expect(result.text.toLowerCase().contains("nightfall"), isTrue);
stream.free();
}
recognizer.free();