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Better transcripts with simple habits
When using WhisperX for meeting transcription, the system can identify that different people spoke, but not always who they are. These simple practices dramatically improve speaker identification in your transcripts.
The single most effective thing you can do.
At the start of any recorded meeting, have everyone briefly introduce themselves:
"Let's go around quickly—I'm Sarah."
"Angela here."
"This is Rich."
"Hi, I'm John."
That's it. Takes 30 seconds. The system can now often match voices to names throughout the rest of the meeting.
Works especially well for:
Instead of:
"What do you think about that?"
Try:
"John, what do you think about that?"
Or when responding:
"Building on Sarah's point about the budget..."
These natural name mentions create anchors the system uses to identify speakers.
| Meeting Type | Expected Accuracy | Tips |
|---|---|---|
| Podcasts | Excellent | Hosts usually introduce guests by name |
| Interviews | Very Good | Typically 2 speakers with clear roles |
| Board Meetings | Good | Use intro protocol, formal structure helps |
| Team Standups | Good | Recurring voices improve over time |
| Classroom | Moderate | Instructor easily identified, students harder |
| Casual Calls | Lower | Fewer name mentions, less structure |
If you want maximum accuracy, simple timestamped notes help enormously:
9:03 - John (wearing blue) 9:05 - Sarah joined late 9:15 - New person, asked about budget
Tools that timestamp automatically:
Even rough timestamps help. Don't stress about precision—within a minute or two is fine.
| Situation | What To Do |
|---|---|
| Starting a meeting | 30-second intro round |
| Asking someone a question | Use their name |
| Want perfect accuracy | Take simple timestamped notes |
| Recurring meetings | Just keep using it—it learns |
Q: What if someone never says their name?
A: They'll appear as "SPEAKER_03" or similar. You can manually edit the transcript if needed, or post-identify them later.
Q: Does everyone need to introduce themselves?
A: No, but it helps. Even identifying 3 of 5 speakers makes the transcript more useful.
Q: What about very large meetings (20+ people)?
A: Focus on identifying key speakers (presenters, leads). Minor contributors can stay as "SPEAKER_XX" if needed.
Q: Can the system identify me automatically?
A: Future versions may support voice enrollment—save your voice profile once, get recognized forever. Not yet implemented.
One habit to adopt: Start meetings with quick introductions.
One habit when speaking: Use people's names when addressing them.
That's 80% of the value with almost no effort.
TranscribeX is a WhisperX-powered transcription service that provides accurate audio-to-text conversion with speaker identification.
This is a development instance. More information will be added as the service evolves.
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