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Learn how tDoc's AI-driven, human-supported receptionists can elevate your practice.

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  • Enterprise Plan
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Transcript Accuracy

Learn how to troubleshoot and improve the accuracy of your AI receptionist's transcripts.

🔊 Transcript Accuracy Troubleshooting

Accurate speech-to-text transcription is essential for your AI receptionist to understand and respond appropriately to callers. This guide helps you identify and resolve common transcript accuracy issues.

🎤 Audio Quality Issues

Issue: Poor transcription due to audio quality problems

Potential causes and solutions:

  1. Background noise

    • Advise callers to use the service in quiet environments
    • Implement noise cancellation features in your call settings
    • Adjust the "Noise Reduction Level" in audio processing settings
  2. Connection quality

    • Check your internet connection stability for hosted solutions
    • Consider bandwidth requirements for high-quality audio streaming
    • Use the "Connection Quality Test" feature to diagnose issues
  3. Hardware limitations

    • Ensure callers are using appropriate microphones/headsets
    • Recommend optimal phone positions for clear audio capture
    • Consider providing guidance for first-time callers

💡 Tip: If possible, add a brief introduction message that guides callers on how to speak clearly for optimal recognition.

🔤 Language and Accent Challenges

Issue: Difficulty transcribing specific accents or languages

Potential causes and solutions:

  1. Customization options
    • Add industry-specific terminology to your custom vocabulary
    • Create phonetic spellings for commonly misheard terms (e.g. When you see "Nguyen" read it as "Win")

📖 Technical Terminology Issues

Issue: Specialized vocabulary or jargon isn't transcribed correctly

Potential causes and solutions:

  1. Custom vocabulary

    • Add domain-specific terms to your "Custom Dictionary"
    • Include common spellings and phonetic variants
    • Use the "Vocabulary Builder" tool for batch additions
  2. Context hints

    • Enable "Contextual Processing" to improve specialized term recognition
    • Add context clues in your agent prompt for disambiguation
    • Use the "Domain Adaptation" feature for industry-specific accuracy

🔄 Real-time Processing Delays

Issue: Transcription lags or delays during conversations

Potential causes and solutions:

  1. System resources

    • Check server CPU and memory usage for hosted deployments
    • Optimize concurrent call handling settings
    • Consider upgrading plan for higher capacity needs
  2. Processing settings

    • Adjust the balance between accuracy and speed in transcription settings
    • Use "Streaming Mode" for lower-latency transcription
    • Enable "Chunk Processing" for faster partial results
  3. Connection optimization

    • Ensure stable, high-bandwidth connections for voice processing
    • Implement fallback mechanisms for connection interruptions
    • Use the "Connection Diagnostics" tool to identify bottlenecks

📊 Monitoring and Improving Accuracy

Implement these strategies to systematically improve transcript accuracy:

  1. Regular analysis:

    • Review transcript accuracy scores in the analytics dashboard
    • Identify patterns in misrecognized words or phrases
    • Track accuracy improvements over time
  2. Targeted improvements:

    • Focus on the most frequently misrecognized terms
    • Create custom rules for persistent problem areas

Remember that transcript accuracy typically improves over time as the system learns from more interactions with your specific use case and terminology.

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