Skills Artificial Intelligence Meeting Transcription Workflow

Meeting Transcription Workflow

v20260311
twinmind-core-workflow-a
Automates TwinMind meeting capture by transcribing audio, diarizing speakers, and generating summaries and action items, ideal for quickly documenting discussions and follow-ups.
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Overview

TwinMind Core Workflow A: Meeting Transcription & Summary

Contents

Overview

Primary workflow for capturing meetings, generating transcripts with speaker diarization, and creating AI summaries with action items.

Prerequisites

  • Completed twinmind-install-auth setup
  • TwinMind Pro/Enterprise for API access
  • Valid API credentials configured
  • Audio source available (live or file)

Instructions

Step 1: Initialize Meeting Capture

Build a MeetingCapture class with startLiveCapture() for real-time recording and transcribeRecording() for file-based transcription. Use Ear-3 model with auto language detection and speaker diarization.

Step 2: Generate AI Summary

Create a SummaryGenerator with generateSummary() (brief/detailed/bullet-points formats), generateFollowUpEmail(), and generateMeetingNotes() methods.

Step 3: Handle Speaker Identification

Build a SpeakerManager that extracts speakers from transcript segments, calculates speaking time per speaker, and optionally matches speakers to calendar attendees.

Step 4: Orchestrate Complete Workflow

Wire everything together in processMeeting(): transcribe audio, then generate summary and identify speakers in parallel, optionally produce follow-up email and meeting notes.

See detailed implementation for complete MeetingCapture, SummaryGenerator, SpeakerManager, and orchestration code.

Output

  • Complete meeting transcript with timestamps
  • Speaker-labeled segments
  • AI-generated summary
  • Extracted action items with assignees
  • Optional follow-up email draft
  • Optional formatted meeting notes

Error Handling

Error Cause Solution
Transcription timeout Large audio file Increase maxWaitMs or use async callback
Speaker match failed No calendar data Provide attendees list manually
Summary generation failed Transcript too short Ensure minimum 30s of audio
Audio format unsupported Wrong codec Convert to MP3/WAV/M4A
Rate limit exceeded Too many requests Implement queue-based processing

Examples

Basic usage: Apply twinmind core workflow a to a standard project setup with default configuration options.

Advanced scenario: Customize twinmind core workflow a for production environments with multiple constraints and team-specific requirements.

Audio Format Support

Format Supported Notes
MP3 Yes Recommended
WAV Yes Best quality
M4A Yes iOS recordings
WebM Yes Browser recordings

Resources

Next Steps

For action item extraction and follow-up automation, see twinmind-core-workflow-b.

Info
Name twinmind-core-workflow-a
Version v20260311
Size 3.44KB
Updated At 2026-03-12
Language