215 lines
8.2 KiB
Markdown
215 lines
8.2 KiB
Markdown
# Enhanced Audio Transcription with Speaker Identification
|
|
|
|
This document describes the enhanced audio transcription system that identifies different speakers and ensures complete transcript preservation in real-time.
|
|
|
|
## 🎯 Key Features
|
|
|
|
### 1. **Speaker Identification**
|
|
- **Voice Fingerprinting**: Uses audio analysis to create unique voice profiles for each speaker
|
|
- **Real-time Detection**: Automatically identifies when speakers change during conversation
|
|
- **Visual Indicators**: Each speaker gets a unique color and label for easy identification
|
|
- **Speaker Statistics**: Tracks speaking time and segment count for each participant
|
|
|
|
### 2. **Enhanced Transcript Structure**
|
|
- **Structured Segments**: Each transcript segment includes speaker ID, timestamps, and confidence scores
|
|
- **Complete Preservation**: No words are lost during real-time updates
|
|
- **Backward Compatibility**: Maintains legacy transcript format for existing integrations
|
|
- **Multiple Export Formats**: Support for text, JSON, and SRT subtitle formats
|
|
|
|
### 3. **Real-time Updates**
|
|
- **Live Speaker Detection**: Continuously monitors voice activity and speaker changes
|
|
- **Interim Text Display**: Shows partial results as they're being spoken
|
|
- **Smooth Transitions**: Seamless updates between interim and final transcript segments
|
|
- **Auto-scroll**: Automatically scrolls to show the latest content
|
|
|
|
## 🔧 Technical Implementation
|
|
|
|
### Audio Analysis System
|
|
|
|
The system uses advanced audio analysis to identify speakers:
|
|
|
|
```typescript
|
|
interface VoiceCharacteristics {
|
|
pitch: number // Fundamental frequency
|
|
volume: number // Audio amplitude
|
|
spectralCentroid: number // Frequency distribution center
|
|
mfcc: number[] // Mel-frequency cepstral coefficients
|
|
zeroCrossingRate: number // Voice activity indicator
|
|
energy: number // Overall audio energy
|
|
}
|
|
```
|
|
|
|
### Speaker Identification Algorithm
|
|
|
|
1. **Voice Activity Detection**: Monitors audio levels to detect when someone is speaking
|
|
2. **Feature Extraction**: Analyzes voice characteristics in real-time
|
|
3. **Similarity Matching**: Compares current voice with known speaker profiles
|
|
4. **Profile Creation**: Creates new speaker profiles for unrecognized voices
|
|
5. **Confidence Scoring**: Assigns confidence levels to speaker identifications
|
|
|
|
### Transcript Management
|
|
|
|
The enhanced transcript system provides:
|
|
|
|
```typescript
|
|
interface TranscriptSegment {
|
|
id: string // Unique segment identifier
|
|
speakerId: string // Associated speaker ID
|
|
speakerName: string // Display name for speaker
|
|
text: string // Transcribed text
|
|
startTime: number // Segment start time (ms)
|
|
endTime: number // Segment end time (ms)
|
|
confidence: number // Recognition confidence (0-1)
|
|
isFinal: boolean // Whether segment is finalized
|
|
}
|
|
```
|
|
|
|
## 🎨 User Interface Enhancements
|
|
|
|
### Speaker Display
|
|
- **Color-coded Labels**: Each speaker gets a unique color for easy identification
|
|
- **Speaker List**: Shows all identified speakers with speaking time statistics
|
|
- **Current Speaker Highlighting**: Highlights the currently speaking participant
|
|
- **Speaker Management**: Ability to rename speakers and manage their profiles
|
|
|
|
### Transcript Controls
|
|
- **Show/Hide Speaker Labels**: Toggle speaker name display
|
|
- **Show/Hide Timestamps**: Toggle timestamp display for each segment
|
|
- **Auto-scroll Toggle**: Control automatic scrolling behavior
|
|
- **Export Options**: Download transcripts in multiple formats
|
|
|
|
### Visual Indicators
|
|
- **Border Colors**: Each transcript segment has a colored border matching the speaker
|
|
- **Speaking Status**: Visual indicators show who is currently speaking
|
|
- **Interim Text**: Italicized, gray text shows partial results
|
|
- **Final Text**: Regular text shows confirmed transcript segments
|
|
|
|
## 📊 Data Export and Analysis
|
|
|
|
### Export Formats
|
|
|
|
1. **Text Format**:
|
|
```
|
|
[00:01:23] Speaker 1: Hello, how are you today?
|
|
[00:01:28] Speaker 2: I'm doing well, thank you for asking.
|
|
```
|
|
|
|
2. **JSON Format**:
|
|
```json
|
|
{
|
|
"segments": [...],
|
|
"speakers": [...],
|
|
"sessionStartTime": 1234567890,
|
|
"totalDuration": 300000
|
|
}
|
|
```
|
|
|
|
3. **SRT Subtitle Format**:
|
|
```
|
|
1
|
|
00:00:01,230 --> 00:00:05,180
|
|
Speaker 1: Hello, how are you today?
|
|
```
|
|
|
|
### Statistics and Analytics
|
|
|
|
The system tracks comprehensive statistics:
|
|
- Total speaking time per speaker
|
|
- Number of segments per speaker
|
|
- Average segment length
|
|
- Session duration and timeline
|
|
- Recognition confidence scores
|
|
|
|
## 🔄 Real-time Processing Flow
|
|
|
|
1. **Audio Capture**: Microphone stream is captured and analyzed
|
|
2. **Voice Activity Detection**: System detects when someone starts/stops speaking
|
|
3. **Speaker Identification**: Voice characteristics are analyzed and matched to known speakers
|
|
4. **Speech Recognition**: Web Speech API processes audio into text
|
|
5. **Transcript Update**: New segments are added with speaker information
|
|
6. **UI Update**: Interface updates to show new content with speaker labels
|
|
|
|
## 🛠️ Configuration Options
|
|
|
|
### Audio Analysis Settings
|
|
- **Voice Activity Threshold**: Sensitivity for detecting speech
|
|
- **Silence Timeout**: Time before considering a speaker change
|
|
- **Similarity Threshold**: Minimum similarity for speaker matching
|
|
- **Feature Update Rate**: How often voice profiles are updated
|
|
|
|
### Display Options
|
|
- **Speaker Colors**: Customizable color palette for speakers
|
|
- **Timestamp Format**: Choose between different time display formats
|
|
- **Auto-scroll Behavior**: Control when and how auto-scrolling occurs
|
|
- **Segment Styling**: Customize visual appearance of transcript segments
|
|
|
|
## 🔍 Troubleshooting
|
|
|
|
### Common Issues
|
|
|
|
1. **Speaker Not Identified**:
|
|
- Ensure good microphone quality
|
|
- Check for background noise
|
|
- Verify speaker is speaking clearly
|
|
- Allow time for voice profile creation
|
|
|
|
2. **Incorrect Speaker Assignment**:
|
|
- Check microphone positioning
|
|
- Verify audio quality
|
|
- Consider adjusting similarity threshold
|
|
- Manually rename speakers if needed
|
|
|
|
3. **Missing Transcript Segments**:
|
|
- Check internet connection stability
|
|
- Verify browser compatibility
|
|
- Ensure microphone permissions are granted
|
|
- Check for audio processing errors
|
|
|
|
### Performance Optimization
|
|
|
|
1. **Audio Quality**: Use high-quality microphones for better speaker identification
|
|
2. **Environment**: Minimize background noise for clearer voice analysis
|
|
3. **Browser**: Use Chrome or Chromium-based browsers for best performance
|
|
4. **Network**: Ensure stable internet connection for speech recognition
|
|
|
|
## 🚀 Future Enhancements
|
|
|
|
### Planned Features
|
|
- **Machine Learning Integration**: Improved speaker identification using ML models
|
|
- **Voice Cloning Detection**: Identify when speakers are using voice modification
|
|
- **Emotion Recognition**: Detect emotional tone in speech
|
|
- **Language Detection**: Automatic language identification and switching
|
|
- **Cloud Processing**: Offload heavy processing to cloud services
|
|
|
|
### Integration Possibilities
|
|
- **Video Analysis**: Combine with video feeds for enhanced speaker detection
|
|
- **Meeting Platforms**: Integration with Zoom, Teams, and other platforms
|
|
- **AI Summarization**: Automatic meeting summaries with speaker attribution
|
|
- **Search and Indexing**: Full-text search across all transcript segments
|
|
|
|
## 📝 Usage Examples
|
|
|
|
### Basic Usage
|
|
1. Start a video chat session
|
|
2. Click the transcription button
|
|
3. Allow microphone access
|
|
4. Begin speaking - speakers will be automatically identified
|
|
5. View real-time transcript with speaker labels
|
|
|
|
### Advanced Features
|
|
1. **Customize Display**: Toggle speaker labels and timestamps
|
|
2. **Export Transcripts**: Download in your preferred format
|
|
3. **Manage Speakers**: Rename speakers for better organization
|
|
4. **Analyze Statistics**: View speaking time and participation metrics
|
|
|
|
### Integration with Other Tools
|
|
- **Meeting Notes**: Combine with note-taking tools
|
|
- **Action Items**: Extract action items with speaker attribution
|
|
- **Follow-up**: Use transcripts for meeting follow-up and documentation
|
|
- **Compliance**: Maintain records for regulatory requirements
|
|
|
|
---
|
|
|
|
*The enhanced transcription system provides a comprehensive solution for real-time speaker identification and transcript management, ensuring no spoken words are lost while providing rich metadata about conversation participants.*
|
|
|