Hello, AI enthusiasts! Today, we're diving into a topic that's as fascinating as it is futuristic - cloning your voice using Azure Custom Neural Voice. Now, before you start picturing sci-fi scenarios, let's clarify that we're talking about creating a synthesized version of your voice, not growing a vocal cord in a petri dish!
The video we're discussing today is a presentation by Callum Whyte at NDC London 2023, titled "Clone yourself with Azure Custom Neural Voice." It's a captivating exploration of how advancements in AI are making it possible to create a digital twin of our voice. Imagine the possibilities - from telephony and voice overs to attending meetings on your behalf. Yes, you read that right!
In this session, Callum covers the basics of training and tweaking a model of your own voice, with minimal code, to turn text into natural-sounding speech. It's a fascinating journey into the world of AI and machine learning, and the best part is, you don't need to be a coding wizard to follow along.
But that's not all. Callum also delves into advanced techniques for training your model with enhanced data. As an example, he takes a larger amount of audio, such as a podcast, and uses widely available tools and APIs to identify individual speakers and the words being spoken. This includes highly technical language, which can then be fed into the model.
The video is a little over an hour long, but it's worth every minute. You'll walk away with the knowledge and inspiration to give "cloning" your voice a try. And who knows?
Now, I'd love to hear your thoughts. Have you ever tried to clone your voice using AI? What applications can you envision for this technology? Drop your thoughts in the comments below, and let's get the conversation started!
And if you found this post helpful, don't forget to hit that like button and share it with your friends. Stay tuned for more exciting explorations into the world of tech!
Disclaimer: This blog post is a summary and analysis of Callum Whyte's presentation at NDC London 2023. All credit for the original content goes to the presenter and the event organizers.