It's no secret that ChatGPT has revolutionised the world of AI. Unlike other AI bots, it is able to understand the context of a conversation and respond, and it makes you feel like you are chatting with a human and not a machine.
But as it is still a kind of chatbot, you need to type a question and you get the answer in the form of text. That's not as exciting as talking to a bot.
This thought gave me the idea of programming ChatGPT so that it could be used as a voice assistant called VoiceGPT. I began by using natural language processing (NLP) to recognise the voice, and then transferring the recognised voice to the ChatGPT engine as a query using the API. After getting an intelligent reply from ChatGPT, I again used NLP to convert it into a human voice.
I needed a good NLP tool for this and OpenAI itself provides one, that is, Whisper. But due to limited time and space, I ended up using Google Natural Language API.
A step-by-step guide to making VoiceGPT
We need to begin by combining the NLP for the ttX service with ChatGPT. For this, we need a machine to run the open API, transfer the query gathered from NLP, and reprocess the answer given by ChatGPT into a human voice using NLP.
You can use any laptop, but I chose the Raspberry Pi to run all this. For capturing the voice for recognition, I attached the voice bonnet; a USB microphone can also be used with Raspberry Pi. However, if you are using a laptop to run the VoiceGPT code, there is no need for a USB microphone; you can use the laptop's inbuilt microphone.
We now need to create an account and log into ChatGPT (see Fig. 2).
Next, we need to get the API key for doing research and experimenting with the ChatGPT code, as shown in Fig. 3.
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