#114 Podcast AI Editing in a Busy Era

Streamlining time-consuming editing work with AI.

Triggered by misreading the schedule and recording in a rush, they decided to streamline the editing process. They lively talk about creating a system that uses applause or page-turning sounds as cues to recognize edit points, automatically performing audio cuts and volume adjustments.

Combining Python and various tools.

They built a proprietary editing system using technologies like Whisper and FFmpeg, writing the base in Python. Their engineer-like dedication shines through in a mechanism that creates transcriptions from audio data and processes them automatically according to those timings.

Subtle details behind the efficiency are revealed.

While the burden of distribution has been significantly reduced due to decreased manual adjustments, episodes of struggling with minute settings like adjusting pauses and fading out background music emerge. Please listen to the main episode to hear more about the behind-the-scenes of automation.