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Text-to-Audio Generation with Bark, Clearly Explained

Kenneth Leung
Better Programming
Published in
11 min readOct 9, 2023

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Photo by Jan vT on Unsplash

Amidst the transformative surge of generative artificial intelligence (AI), text-to-audio models are emerging as one of the most promising frontiers.

These advances involve converting text to speech and crafting audio experiences indistinguishable from human-produced content.

The potential applications are vast and captivating, from audiobooks narrated in any voice to dynamic music compositions prompted by mere text.

In this comprehensive walkthrough, we delve into the capabilities and technical intricacies of Bark, an open-source text-prompted audio generative model capable of producing wonderful audio outputs.

(1) Introducing Bark
(2) Step-by-Step Guide
(3) Capabilities with Prompt Engineering
(4) Technical Details (Optional)
(5) Caveats
(6) Wrapping it up

Check out the accompanying GitHub repo here.

(1) Introducing Bark

Bark is a transformer-based text-to-audio model capable of generating realistic multilingual speech, music, and…

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Kenneth Leung
Kenneth Leung

Written by Kenneth Leung

Senior Data Scientist at Boston Consulting Group | Top Tech Author | 2M+ reads on Medium | linkedin.com/in/kennethleungty | github.com/kennethleungty