Popular Lesson
Recognize key developments in audio generative AI and their real-world uses
Understand how modern AI tools can enhance and transform audio content
Explore how text can be converted into natural-sounding speech by tools like ElevenLabs
Discover the role of AI voice cloning in saving time and changing workflows
Learn how Descript uses AI to simplify audio and video editing
Identify immediate, practical scenarios to benefit from AI-powered audio tools
Artificial intelligence is showing up everywhere, and audio is no exception. While much attention goes to text-based chatbots or image generators, audio AI is introducing tools that make recording easier, editing faster, and even allow voice replication. This lesson is your starting point for understanding these breakthroughs in audio AI.
We first cover how tools like Adobe’s audio enhancer can polish recordings with just a click, improving quality without professional equipment. Next, you’ll be introduced to ElevenLabs, which advances text-to-speech and voice cloning, making it possible to create speech that’s nearly indistinguishable from a real voice. Finally, we’ll look at Descript, an all-in-one editing platform where AI lets you edit audio or video as easily as working with text.
Whether you’re looking to save time, produce better sound, or experiment with audio in creative ways, this lesson will give you the confidence to start using these AI tools. Audio generative AI isn’t just for tech experts—it’s becoming a simple, practical option for anyone who works with sound.
Anyone hoping to boost the quality or creativity of their audio content will find this lesson valuable.
Audio generative AI fits wherever you’re working with sound, from idea to final product. For example, if you’re recording a podcast, you can use Adobe’s tool to clean up raw files before publishing. If you need a variety of voices for your scripted videos, ElevenLabs can produce them from your written words. When editing finished pieces, Descript makes cutting and rearranging content as easy as working in a text document.
These AI tools simplify once-complex audio tasks and save valuable time, helping you focus on content rather than technical hurdles. Whether you’re launching a new show or scripting explainer videos, understanding audio AI will make your production process faster and easier.
In the past, improving audio quality or editing sound required expensive software, technical know-how, and hours of tweaking. Manual voiceovers meant re-recording each line, and editing meant carefully trimming and adjusting waveforms by hand.
The AI-driven approach lets you fix audio with a single click, generate natural-sounding voices straight from text, and even edit entire videos as if you’re just fixing a document. For example, with voice cloning, you can create alternate takes or corrections without another recording session. This new approach can drastically cut production time and eliminate mistakes, especially for creators who need to work quickly—or who don’t have access to a professional studio. In short, AI-powered audio tools remove barriers, making quality content possible for everyone.
Try applying what you’ve learned to an audio project you have—this could be a podcast intro, a teaching video, or a simple voice note.
How does the AI-altered audio compare to your original file? Does AI-generated voice from text meet your expectations in tone and clarity? Make a note of where quality improved or what surprised you about the results.
This lesson marks your introduction to audio generative AI in The Ultimate Guide to Generative AI. Previously, we explored how audio AI is growing alongside AI for text and images. Now, you’ve learned what makes audio tools unique and why they matter. In future lessons, you’ll get hands-on with specific platforms like Adobe’s enhancer, ElevenLabs, and Descript. Continue with the course to see these tools at work and discover new ways to improve your own audio projects.