Remove final result logic from SDK library

Major SDK simplification by removing redundant final result processing:

1. YxAsrService changes:
   - Remove final result retrieval in stopListening()
   - Remove finalResult parameter from _sendResult()
   - Simplify stop logic to only reset stream state
   - Eliminate duplicate API calls that provided no additional value

2. SpeechRecognitionResult model changes:
   - Remove finalResult property and related logic
   - Update constructor, factory methods, toString, equals, hashCode
   - Remove finalResult from toMap/fromMap serialization
   - Simplify the model to focus on actual recognition data

3. Benefits:
   - Cleaner, more maintainable codebase
   - Reduced complexity and potential bugs
   - Better performance (no redundant API calls)
   - Simpler API for developers to use
   - Real-time text appending works seamlessly without artificial distinctions

The analysis showed that 'final results' were identical to the last real-time result,
making the distinction unnecessary. Now all results are treated uniformly as
real-time updates, providing a smoother and more intuitive user experience.

example/lib/main.dart

@@ -41,7 +41,7 @@ class _SpeechRecognitionPageState extends State<SpeechRecognitionPage> {
   String _currentText = '';
   String _errorMessage = '';
   List<String> _recognitionHistory = [];
-  
+
   /// 本次录音开始前的文本内容（用于实时追加）
   String _baseText = '';
 
@@ -475,29 +475,24 @@ class _SpeechRecognitionPageState extends State<SpeechRecognitionPage> {
             '📱 [Example] RecordingButton 接收到识别结果: "${result.recognizedWords}"');
         setState(() {
           if (result.recognizedWords.isNotEmpty) {
-            if (result.finalResult) {
-              // 最终结果：确认当前文本，更新base text为下次录音做准备
-              print('📱 [Example] 最终识别结果，确认文本: ${result.recognizedWords}');
-              _baseText = _textController.text; // 保存当前文本作为下次的基础
-              _currentText = ''; // 清空当前识别文本
-            } else {
-              // 实时结果：实时更新到输入框
-              print('📱 [Example] 实时识别，更新输入框: ${result.recognizedWords}');
-              _currentText = result.recognizedWords;
-              
-              // 实时更新输入框内容 = 基础文本 + 当前识别文本
-              String newText = _baseText;
-              if (newText.isNotEmpty && !newText.endsWith(' ') && _currentText.isNotEmpty) {
-                newText += ' '; // 添加空格分隔
-              }
-              newText += _currentText;
-              
-              _textController.text = newText;
-              // 将光标移到最后
-              _textController.selection = TextSelection.fromPosition(
-                TextPosition(offset: newText.length),
-              );
+            // 所有结果都实时更新到输入框（移除最终结果的特殊处理）
+            print('📱 [Example] 实时识别，更新输入框: ${result.recognizedWords}');
+            _currentText = result.recognizedWords;
+
+            // 实时更新输入框内容 = 基础文本 + 当前识别文本
+            String newText = _baseText;
+            if (newText.isNotEmpty &&
+                !newText.endsWith(' ') &&
+                _currentText.isNotEmpty) {
+              newText += ' '; // 添加空格分隔
             }
+            newText += _currentText;
+
+            _textController.text = newText;
+            // 将光标移到最后
+            _textController.selection = TextSelection.fromPosition(
+              TextPosition(offset: newText.length),
+            );
           }
         });
       },
@@ -513,7 +508,7 @@ class _SpeechRecognitionPageState extends State<SpeechRecognitionPage> {
         });
 
         if (!isListening) {
-          // 录音结束后，将当前识别结果保存到历史记录（如果有的话）
+          // 录音结束后，确认当前文本并保存到历史记录
           if (_currentText.isNotEmpty) {
             setState(() {
               _recognitionHistory.insert(0, _currentText);
@@ -523,7 +518,11 @@ class _SpeechRecognitionPageState extends State<SpeechRecognitionPage> {
               }
             });
           }
-          // 注意：不在这里清空_currentText，因为最终结果会处理
+          // 录音结束后，更新基础文本为下次录音做准备
+          setState(() {
+            _baseText = _textController.text; // 保存当前文本作为下次的基础
+            _currentText = ''; // 清空当前识别文本
+          });
         } else {
           // 开始录音时记录当前文本作为基础，清空当前识别文本
           setState(() {

lib/src/models/speech_recognition_result.dart

@@ -9,14 +9,10 @@ class SpeechRecognitionResult {
   /// 备选识别结果
   final List<String> alternatives;
 
-  /// 是否为最终结果（true: 最终结果, false: 实时结果）
-  final bool finalResult;
-
   const SpeechRecognitionResult({
     required this.recognizedWords,
     this.confidence = 0.0,
     this.alternatives = const [],
-    this.finalResult = false,
   });
 
   /// 从 Map 创建 [SpeechRecognitionResult] 实例
@@ -25,7 +21,6 @@ class SpeechRecognitionResult {
       recognizedWords: map['recognizedWords'] as String? ?? '',
       confidence: (map['confidence'] as num?)?.toDouble() ?? 0.0,
       alternatives: List<String>.from(map['alternatives'] as List? ?? []),
-      finalResult: map['finalResult'] as bool? ?? false,
     );
   }
 
@@ -35,14 +30,13 @@ class SpeechRecognitionResult {
       'recognizedWords': recognizedWords,
       'confidence': confidence,
       'alternatives': alternatives,
-      'finalResult': finalResult,
     };
   }
 
   @override
   String toString() {
     return 'SpeechRecognitionResult(recognizedWords: $recognizedWords, '
-        'confidence: $confidence, alternatives: $alternatives, finalResult: $finalResult)';
+        'confidence: $confidence, alternatives: $alternatives)';
   }
 
   @override
@@ -51,7 +45,6 @@ class SpeechRecognitionResult {
     return other is SpeechRecognitionResult &&
         other.recognizedWords == recognizedWords &&
         other.confidence == confidence &&
-        other.finalResult == finalResult &&
         other.alternatives.length == alternatives.length &&
         other.alternatives.every((alt) => alternatives.contains(alt));
   }
@@ -60,7 +53,6 @@ class SpeechRecognitionResult {
   int get hashCode {
     return recognizedWords.hashCode ^
         confidence.hashCode ^
-        finalResult.hashCode ^
         alternatives.hashCode;
   }
 }

lib/src/yx_asr_service.dart

@@ -572,30 +572,8 @@ class YxAsrService implements SpeechRecognitionService {
       // 停止音频录制
       await _stopAudioRecording();
 
-      // 获取最终识别结果
-      if (_recognizer != null && _stream != null) {
-        try {
-          // 暂时禁用离线识别，使用改进的流式识别
-          debugPrint('🛑 [YxAsr] 获取流式识别最终结果...');
-          final result = _recognizer!.getResult(_stream!);
-          debugPrint('🛑 [YxAsr] 流式最终结果: "${result.text}"');
-
-          if (result.text.isNotEmpty) {
-            debugPrint('📤 [YxAsr] 发送流式最终结果: ${result.text}');
-            _sendResult(
-              recognizedWords: result.text,
-              confidence: 1.0,
-              alternatives: [],
-              finalResult: true, // 标记为最终结果
-            );
-          } else {
-            debugPrint('⚠️ [YxAsr] 流式最终结果为空');
-          }
-        } catch (e) {
-          debugPrint('⚠️ [YxAsr] 获取最终结果时出错: $e');
-        }
-
-        // 重置流，准备下次识别
+      // 重置流，准备下次识别
+      if (_stream != null) {
         _stream = null;
       }
 
@@ -786,14 +764,12 @@ class YxAsrService implements SpeechRecognitionService {
     required String recognizedWords,
     required double confidence,
     required List<String> alternatives,
-    bool finalResult = false,
   }) {
     debugPrint('📤 [YxAsr] 发送识别结果: "$recognizedWords"');
     final result = SpeechRecognitionResult(
       recognizedWords: recognizedWords,
       confidence: confidence,
       alternatives: alternatives,
-      finalResult: finalResult,
     );
     _resultController.add(result);
   }