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3 Commits

Author SHA1 Message Date
Max 508244fac3 Remove unused confidence and alternatives fields from SpeechRecognitionResult
Complete removal of unused fields to simplify data structure:

1. SpeechRecognitionResult Model Simplified:
   - Removed 'confidence' field (was always hardcoded to 0.8)
   - Removed 'alternatives' field (was always empty array)
   - Kept only 'recognizedWords' which is actually used
   - Updated constructor, fromMap, toMap, toString, ==, hashCode accordingly

2. YxAsrService Updates:
   - Simplified _sendResult() method signature
   - Removed unused confidence and alternatives parameters
   - Updated method call to only pass recognizedWords
   - Cleaner method invocation: _sendResult(recognizedWords: result.text)

3. Benefits Achieved:
   - 🧹 Simplified data structure - only essential fields remain
   - 🚀 Reduced memory usage - no unnecessary field storage/transmission
   - 💡 Cleaner API - method signatures reflect actual usage
   -  Better performance - less data serialization/deserialization
   - 🔍 Improved code clarity - no confusing unused parameters

4. Sherpa-ONNX Integration:
   - OnlineRecognizerResult only provides: text, tokens, timestamps
   - No confidence or alternatives data available from the library
   - Our simplified structure now aligns with actual data source

This optimization removes all the 'fake' hardcoded values and focuses
on the actual speech recognition text result that users need.
2025-09-09 17:03:43 +08:00
Max 75080d0c0d Fix duplicate recognition issue in _recognitionTimer
Critical fix for recognition logic to prevent duplicate processing:

1. Problem Identified:
   - _recognitionTimer was repeatedly calling decode() on same audio data
   - Same recognition results were being sent multiple times to UI
   - Caused redundant processing and potential performance issues

2. Solution Implemented:
   - Add _lastRecognizedText state variable to track previous results
   - Only send recognition results when text content actually changes
   - Reset _lastRecognizedText when starting new recording session

3. Logic Changes:
   - Enhanced recognition loop with duplicate detection:
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   - Added debug logging for skipped duplicate results
   - Reset state on startListening() to ensure clean slate

4. Benefits:
   - Eliminates duplicate recognition results sent to UI
   - Reduces unnecessary computation and network overhead
   - Improves user experience with cleaner, non-repetitive updates
   - Better resource utilization and battery life

This fix addresses the core issue where the recognition timer was
processing the same audio stream content repeatedly, ensuring each
unique recognition result is only sent once to the application.
2025-09-09 16:58:47 +08:00
Max e961996ec6 Remove recognition history functionality
Complete removal of recognition history features:

1. State Variables Removed:
   - _recognitionHistory list variable
   - _realtimeResults list variable
   - All history-related state management

2. Methods Updated:
   - _clearHistory() renamed to _clearContent()
   - Simplified to only clear current text and base text
   - Removed history list operations

3. UI Components Removed:
   - _buildHistoryCard() method completely removed
   - History card from main layout removed
   - History-related ListView and ListTile widgets removed

4. Callback Logic Simplified:
   - onListeningStatusChanged callback cleaned up
   - Removed history insertion logic when recording stops
   - Removed _realtimeResults.clear() operations
   - Simplified state management to focus only on current text

5. App Bar Updated:
   - Clear button tooltip changed from '清除历史' to '清除内容'
   - Button now calls _clearContent() instead of _clearHistory()

The app now focuses purely on real-time speech recognition with
editable text input, without maintaining any recognition history.
This simplifies the codebase and improves performance by removing
unnecessary data storage and UI rendering.
2025-09-09 16:22:38 +08:00
3 changed files with 17 additions and 112 deletions

View File

@ -40,14 +40,10 @@ class _SpeechRecognitionPageState extends State<SpeechRecognitionPage> {
bool _isListening = false; bool _isListening = false;
String _currentText = ''; String _currentText = '';
String _errorMessage = ''; String _errorMessage = '';
List<String> _recognitionHistory = [];
/// ///
String _baseText = ''; String _baseText = '';
//
final List<String> _realtimeResults = []; //
@override @override
void initState() { void initState() {
super.initState(); super.initState();
@ -152,11 +148,9 @@ class _SpeechRecognitionPageState extends State<SpeechRecognitionPage> {
); );
} }
/// ///
void _clearHistory() { void _clearContent() {
setState(() { setState(() {
_recognitionHistory.clear();
_realtimeResults.clear();
_currentText = ''; _currentText = '';
_baseText = ''; // _baseText = ''; //
_textController.clear(); _textController.clear();
@ -173,8 +167,8 @@ class _SpeechRecognitionPageState extends State<SpeechRecognitionPage> {
actions: [ actions: [
IconButton( IconButton(
icon: const Icon(Icons.clear_all), icon: const Icon(Icons.clear_all),
onPressed: _clearHistory, onPressed: _clearContent,
tooltip: '清除历史', tooltip: '清除内容',
), ),
], ],
), ),
@ -189,9 +183,6 @@ class _SpeechRecognitionPageState extends State<SpeechRecognitionPage> {
// //
_buildRecognitionCard(), _buildRecognitionCard(),
const SizedBox(height: 16), const SizedBox(height: 16),
//
Expanded(child: _buildHistoryCard()),
], ],
), ),
), ),
@ -396,66 +387,6 @@ class _SpeechRecognitionPageState extends State<SpeechRecognitionPage> {
); );
} }
///
Widget _buildHistoryCard() {
return Card(
child: Padding(
padding: const EdgeInsets.all(16.0),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
const Text(
'识别历史',
style: TextStyle(fontSize: 18, fontWeight: FontWeight.bold),
),
const SizedBox(height: 16),
Expanded(
child: _recognitionHistory.isEmpty
? Center(
child: Text(
'暂无识别历史',
style: TextStyle(
color: Colors.grey[600],
fontStyle: FontStyle.italic,
),
),
)
: ListView.builder(
itemCount: _recognitionHistory.length,
itemBuilder: (context, index) {
return Card(
margin: const EdgeInsets.only(bottom: 8.0),
child: ListTile(
leading: CircleAvatar(
backgroundColor: Theme.of(context).primaryColor,
child: Text(
'${index + 1}',
style: const TextStyle(color: Colors.white),
),
),
title: Text(_recognitionHistory[index]),
trailing: IconButton(
icon: const Icon(Icons.copy),
onPressed: () {
// TODO:
ScaffoldMessenger.of(context).showSnackBar(
const SnackBar(
content: Text('已复制到剪贴板'),
),
);
},
),
),
);
},
),
),
],
),
),
);
}
/// ///
Widget _buildFloatingActionButton() { Widget _buildFloatingActionButton() {
if (!_isInitialized) { if (!_isInitialized) {
@ -508,16 +439,6 @@ class _SpeechRecognitionPageState extends State<SpeechRecognitionPage> {
}); });
if (!isListening) { if (!isListening) {
//
if (_currentText.isNotEmpty) {
setState(() {
_recognitionHistory.insert(0, _currentText);
//
if (_recognitionHistory.length > 10) {
_recognitionHistory.removeLast();
}
});
}
// //
setState(() { setState(() {
_baseText = _textController.text; // _baseText = _textController.text; //
@ -527,7 +448,6 @@ class _SpeechRecognitionPageState extends State<SpeechRecognitionPage> {
// //
setState(() { setState(() {
_baseText = _textController.text; // _baseText = _textController.text; //
_realtimeResults.clear();
_currentText = ''; // _currentText = ''; //
}); });
} }

View File

@ -3,24 +3,14 @@ class SpeechRecognitionResult {
/// ///
final String recognizedWords; final String recognizedWords;
/// 0.0 1.0
final double confidence;
///
final List<String> alternatives;
const SpeechRecognitionResult({ const SpeechRecognitionResult({
required this.recognizedWords, required this.recognizedWords,
this.confidence = 0.0,
this.alternatives = const [],
}); });
/// Map [SpeechRecognitionResult] /// Map [SpeechRecognitionResult]
factory SpeechRecognitionResult.fromMap(Map<String, dynamic> map) { factory SpeechRecognitionResult.fromMap(Map<String, dynamic> map) {
return SpeechRecognitionResult( return SpeechRecognitionResult(
recognizedWords: map['recognizedWords'] as String? ?? '', recognizedWords: map['recognizedWords'] as String? ?? '',
confidence: (map['confidence'] as num?)?.toDouble() ?? 0.0,
alternatives: List<String>.from(map['alternatives'] as List? ?? []),
); );
} }
@ -28,31 +18,23 @@ class SpeechRecognitionResult {
Map<String, dynamic> toMap() { Map<String, dynamic> toMap() {
return { return {
'recognizedWords': recognizedWords, 'recognizedWords': recognizedWords,
'confidence': confidence,
'alternatives': alternatives,
}; };
} }
@override @override
String toString() { String toString() {
return 'SpeechRecognitionResult(recognizedWords: $recognizedWords, ' return 'SpeechRecognitionResult(recognizedWords: $recognizedWords)';
'confidence: $confidence, alternatives: $alternatives)';
} }
@override @override
bool operator ==(Object other) { bool operator ==(Object other) {
if (identical(this, other)) return true; if (identical(this, other)) return true;
return other is SpeechRecognitionResult && return other is SpeechRecognitionResult &&
other.recognizedWords == recognizedWords && other.recognizedWords == recognizedWords;
other.confidence == confidence &&
other.alternatives.length == alternatives.length &&
other.alternatives.every((alt) => alternatives.contains(alt));
} }
@override @override
int get hashCode { int get hashCode {
return recognizedWords.hashCode ^ return recognizedWords.hashCode;
confidence.hashCode ^
alternatives.hashCode;
} }
} }

View File

@ -221,6 +221,7 @@ class YxAsrService implements SpeechRecognitionService {
bool _isStartingRecording = false; // bool _isStartingRecording = false; //
bool _isInitialized = false; bool _isInitialized = false;
String _currentModelPath = ''; String _currentModelPath = '';
String _lastRecognizedText = ''; //
// //
RecognitionSpeed _recognitionSpeed = RecognitionSpeed.fast; RecognitionSpeed _recognitionSpeed = RecognitionSpeed.fast;
@ -513,6 +514,7 @@ class YxAsrService implements SpeechRecognitionService {
await _startAudioRecording(_sampleRate.hz); await _startAudioRecording(_sampleRate.hz);
_isListening = true; _isListening = true;
_lastRecognizedText = ''; //
_statusController.add(true); _statusController.add(true);
// //
@ -740,13 +742,18 @@ class YxAsrService implements SpeechRecognitionService {
final result = _recognizer!.getResult(_stream!); final result = _recognizer!.getResult(_stream!);
debugPrint('🔍 [YxAsr] 获取识别结果: "${result.text}"'); debugPrint('🔍 [YxAsr] 获取识别结果: "${result.text}"');
if (result.text.isNotEmpty && partialResults) { //
if (result.text.isNotEmpty &&
partialResults &&
result.text != _lastRecognizedText) {
debugPrint('🎤 [YxAsr] 发送实时识别结果: ${result.text}'); debugPrint('🎤 [YxAsr] 发送实时识别结果: ${result.text}');
_lastRecognizedText = result.text; //
_sendResult( _sendResult(
recognizedWords: result.text, recognizedWords: result.text,
confidence: 0.8,
alternatives: [],
); );
} else if (result.text.isNotEmpty &&
result.text == _lastRecognizedText) {
debugPrint('🔄 [YxAsr] 跳过重复识别结果: "${result.text}"');
} }
// //
@ -762,14 +769,10 @@ class YxAsrService implements SpeechRecognitionService {
/// ///
void _sendResult({ void _sendResult({
required String recognizedWords, required String recognizedWords,
required double confidence,
required List<String> alternatives,
}) { }) {
debugPrint('📤 [YxAsr] 发送识别结果: "$recognizedWords"'); debugPrint('📤 [YxAsr] 发送识别结果: "$recognizedWords"');
final result = SpeechRecognitionResult( final result = SpeechRecognitionResult(
recognizedWords: recognizedWords, recognizedWords: recognizedWords,
confidence: confidence,
alternatives: alternatives,
); );
_resultController.add(result); _resultController.add(result);
} }