Real Time Transcription Workflow with AI for Public Hearings

Real-Time Transcription for Public Hearings

1. Preparation Phase

1.1 Define Requirements

Identify the specific needs of the public hearing, including language requirements, number of participants, and desired output format.

1.2 Select AI Transcription Tools

Research and choose AI transcription tools that meet the identified requirements. Examples include:

• Otter.ai: Offers real-time transcription with speaker identification.
• Rev.ai: Provides high accuracy and integrates with various platforms.
• Trint: Features collaborative editing and supports multiple languages.

2. Implementation Phase

2.1 Setup Audio/Video Equipment

Ensure that high-quality microphones and cameras are set up to capture clear audio and video during the hearing.

2.2 Integrate AI Transcription Tool

Connect the selected AI transcription tool to the audio/video feed. Ensure that the tool is configured for optimal performance.

3. Execution Phase

3.1 Conduct Public Hearing

Facilitate the public hearing, ensuring that all participants are aware of the transcription process.

3.2 Real-Time Transcription

Monitor the AI transcription tool as it captures spoken dialogue in real-time. Make adjustments as necessary to improve accuracy.

4. Post-Hearing Phase

4.1 Review and Edit Transcription

After the hearing, review the transcribed text for accuracy. Utilize built-in editing features of the AI tool, if available.

4.2 Finalize and Distribute Transcription

Finalize the transcription document and distribute it to stakeholders, ensuring compliance with any relevant regulations.

5. Feedback and Improvement

5.1 Collect Feedback

Gather feedback from participants regarding the transcription process and overall experience.

5.2 Analyze and Optimize Workflow

Evaluate the feedback and identify areas for improvement in the transcription workflow for future public hearings.