Remote multi-person recording sound quality optimization solution
Remote recording of multiple people often results in inconsistent sound quality due to device differences, network environments, etc. Podcastle solves this problem with a combination of the following features:
- Individual track technology: Each participant generates a separate audio track, with individual adjustments to volume, noise reduction, etc.
- AI preprocessing mechanism: The system automatically standardizes input levels to reduce the impact of equipment differences
- dual insurance strategy: Simultaneous local + cloud dual backup to avoid data loss due to network fluctuations
Hands-on steps:
- Require all participants to test their equipment prior to recording (platform has built-in detection)
- Invite participants using the exclusive link generated by the "Invite Guests" function
- Prohibit participants from arbitrarily adjusting microphone position/gain during recordings
- Post-processing using "Magic Dust" to unify the bottom noise of all tracks.
Advanced Tips:For important interviews, guests can be allowed to record test audio on their phones in advance, and equipment adjustment suggestions are given through AI analysis.
This answer comes from the articlePodcastle: the AI tool for quickly creating high-quality podcastsThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of inconsistent sound quality when recording multiple people remotely?
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