How to give Voice to LLM
Hey folks! I’m kicking off a new series of articles to break down the technology behind building a voice assistant powered by an LLM (Large Language Model). We’ll dive into the nuts and bolts of this, covering tools like Text-to-Speech (TTS) and Speech-to-Text (STT). By the end, you’ll know how to build a voice assistant that can connect to your website or even take calls using a phone number!
Exciting, right? And if you’ve ever wondered how to make your own voice assistant or integrate it with your CRM or custom backend, you’re in the right place.
I’m also launching a SaaS platform that lets you build this voice assistant easily. The best part? The top 100 users on the waitlist will get free premium subscriptions! Plus, if you refer friends and colleagues, you’ll move higher on the list. Sounds cool? Let’s dig in.
How Does This Application Work?
At the heart of this voice assistant are three key technologies: LLM, TTS, and STT. Let’s take a closer look at each.
Large Language Model (LLM): This is the “brain” of your assistant. It processes text, understands context, and generates responses. Think of it as the thinking part of your voice bot. It’s what makes the assistant seem intelligent.
Example: You ask your assistant, “Can you help me draft an email to a client?” The LLM understands and responds, “Sure! What would you like the email to say?”
Text-to-Speech (TTS): Once the LLM generates a text response, TTS comes into play. It converts the text into natural-sounding speech. This is how your assistant “talks” to you.
Example: After the LLM generates “It’s sunny in New York with a high of 75°F,” TTS converts that text into actual spoken words that you hear.
Speech-to-Text (STT): STT is the reverse process of TTS. It listens to what you say and converts your speech into text so that the LLM can understand it.
Example: You say, “What’s the weather today?” The STT translates this into text and sends it to the LLM for processing.
Building Your Own Voice Assistant
As we continue in this series, we’ll walk through how to build your voice assistant and even connect it to your website or phone number. You’ll also be able to programmatically make and take calls, making this an even more versatile tool for businesses or personal use.
We’ll also explore how to integrate the assistant with your CRM or custom backend. Imagine an assistant that can not only talk to you but also handle customer queries and data seamlessly!
Join the Waitlist
I’m really excited to share this journey with you. If you want early access, join the waitlist! The first 100 users will get a free premium subscription, and you can improve your chances by referring others through your connections and social media.
Stay tuned for the next article, where we’ll dive deeper into how TTS and STT work and how you can start building your voice assistant from scratch. Happy coding!
