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Feedback: guides-make-speaker-labels

Original URL: https://www.assemblyai.com/docs/guides/make-speaker-labels
Category: guides
Generated: 05/08/2025, 4:39:29 pm


Generated: 05/08/2025, 4:39:28 pm

Technical Documentation Analysis & Feedback

Section titled “Technical Documentation Analysis & Feedback”

This guide provides a functional walkthrough but lacks the depth and clarity needed for effective technical documentation. Here’s my detailed analysis with actionable improvements:

Problem: Users don’t know what they need before starting.

Fix: Add a prerequisites section:

## Prerequisites
- Active Make.com account (Basic plan or higher)
- AssemblyAI API key ([get one here](link))
- Google account with Google Drive access
- Audio file URL (supported formats: MP3, WAV, M4A, etc.)
- Basic familiarity with Make.com scenarios

Problem: Critical settings are mentioned but not explained.

Fix: Provide specific configuration examples:

### AssemblyAI Module Configuration
- **Audio URL**: `https://example.com/audio.mp3`
- **Speaker Labels**: ✅ Enabled (required for this guide)
- **Language Detection**: Auto-detect (recommended)
- **Additional Models** (optional):
- Sentiment Analysis
- Entity Detection
- Content Moderation

Problem: Some steps have clear headers, others don’t. Inconsistent detail levels.

Fix: Standardize all steps:

## Step X: [Action Name]
### What you'll do:
Brief explanation of the step's purpose
### Instructions:
1. Numbered action items
2. With specific details
### Expected Result:
What users should see after completion
### Troubleshooting:
Common issues and solutions

Problem: No guidance for common failures.

Fix: Add troubleshooting sections:

## Common Issues & Solutions
### "Failed to load" Error in Google Docs Module
- **Cause**: Authentication timeout
- **Solution**: Reconnect your Google account in Make.com settings
- **Prevention**: Re-authenticate every 30 days
### Transcript Processing Timeout
- **Cause**: Large audio files (>2 hours)
- **Solution**: Use webhook triggers for long files
- **Alternative**: Split audio into smaller segments

Problem: “Add some filler content” and similar non-specific directions.

Fix: Provide exact examples:

### Document Setup
- **Document Name**: `Speaker Analysis - [Current Date]`
- **Initial Content**:

Generated on: {{formatDate(now; “YYYY-MM-DD”)}}


- **Location**: Choose your preferred Google Drive folder

Problem: The “format below” is referenced but not clearly shown.

Fix: Provide explicit formatting template:

### Text Formatting Template
Use this exact format in the "Appended Text" field:

Speaker {{speaker}}: {{text}} Confidence: {{confidence}}%

Section titled “Speaker {{speaker}}: {{text}} Confidence: {{confidence}}%”
**Result Example:**

Speaker A: Hello, welcome to today’s meeting. Confidence: 95%

Section titled “Speaker A: Hello, welcome to today’s meeting. Confidence: 95%”

Speaker B: Thank you for having me. Confidence: 92%

Section titled “Speaker B: Thank you for having me. Confidence: 92%”
## 🎯 User Experience Improvements
### 7. **Add Estimated Time & Complexity**
```markdown
## Guide Overview
- **Estimated Time**: 15-20 minutes
- **Difficulty Level**: Intermediate
- **Cost**: ~$0.50 per hour of audio (AssemblyAI pricing)

Problem: Users don’t know if they’re on track.

Fix: Add checkpoints:

### ✅ Validation Checkpoint
After Step 3, verify:
- [ ] Transcript status shows "completed"
- [ ] Utterances array contains speaker data
- [ ] Speaker labels are populated (not null)
**If any item fails**: [Troubleshooting steps]

Problem: Guide ends abruptly without follow-up possibilities.

Fix: Add conclusion section:

## Next Steps
Now that you have speaker labels working, you can:
- **Export to other formats**: CSV, JSON, or email
- **Add sentiment analysis**: Combine with emotion detection
- **Automate processing**: Set up file watchers for batch processing
- **Enhance formatting**: Add timestamps and confidence scores
## Related Guides
- [Adding Timestamps to Transcripts](link)
- [Batch Processing Audio Files](link)
- [Advanced Speaker Diarization](link)
## Important Limitations
- **File Size**: Maximum 512MB per file
- **Processing Time**: ~15% of audio duration
- **Speaker Detection**: Works best with 2-10 speakers
- **Audio Quality**: Higher quality = better speaker accuracy
- **Language Support**: Speaker labels available for English, Spanish, French, German

Current: “Iterate over Speaker Labels with Make.com” Better: “How to Extract Speaker Labels from Audio Using AssemblyAI and Make.com”

Include keyword variations:

  • “Speaker Diarization”
  • “Audio Transcription Automation”
  • “Voice Recognition Workflow”
  1. High Priority: Add prerequisites, fix configuration details, include error handling
  2. Medium Priority: Standardize step format, add validation checkpoints
  3. Low Priority: Improve SEO, add next steps section

These improvements would transform this from a basic walkthrough into comprehensive, user-friendly documentation that reduces support requests and improves user success rates.