I just solved the biggest AI Filmmaking Issue: Voice Consistency

Native audio in your AI Video generations has become the standard, but there’s an issue that every creator has come across. Everybody wants to answer the question: How do you get a consistent voice across each of the video generations?

Here are the 3 workflows below that I show in the tutorial:

Prompting: This workflow is simply prompting for the specific voice, accent, and tone. It’s not preferred, but sometimes you can get somewhat similar outputs in your generations.

Speech-to-Speech: This is a pretty underused tool when it comes to AI audio. It produces some pretty solid output.

Reference Audio Cloning (Our Favorite): This workflow uses a reference audio when prompting inside of an omni model. This is the best workflow in our experience.

Time Code:
00:00 Intro
01:43 Workflow #1: Text Prompting
06:10 Workflow #2: Speech-to-Speech
10:58 Workflow #3: Utilizing Voice Reference and an Omni Model

Here’s a full breakdown of the workflows from the video: https://curiousrefuge.com/blog/how-to-get-consistent-ai-voices

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Links to the tools from the video:
Elevenlabs Speech-to-Speech: https://elevenlabs.io/blog/speech-to-speech
Seedance Omni: https://seed.bytedance.com/en/seedance2_0
Kling Omni: https://kling.ai/quickstart/klingai-video-3-omni-model-user-guide
Veo 3.1: https://gemini.google/overview/video-generation/
Magnific: https://magnific.ai/