In the future, I may add a keyword spotting algorithm to the project so that it can always run in the background, waiting for a keyword (e.g. Google Home, Amazon Alexa), but this proof of concept shows how a voice assistant can use ChatGPT, which, in my opinion, provides a far better experience than anything currently on the market.
ChatGPT utilizes the GPT 3.5 and GPT 4 language models, while Google Bard employs its proprietary LaMDA model. ChatGPT offers an iOS app and web access, while Bard is browser-based. The concept of a voice assistant is well established (e.g. Both ChatGPT and Google Bard are accessible to all users, although ChatGPT requires account creation, and Bard necessitates a Google account. That response is then processed by Google Cloud's Text-to-Speech API to turn it into realistic, synthetic speech that the Raspberry Pi can play through a speaker. The text is then queried against ChatGPT using an unofficial API that returns a text string of ChatGPT's response. The Google Cloud Speech-to-Text API is then used to convert that audio file into text. A custom Python script collects audio of a speaker's voice using a USB microphone.
I chose a Raspberry Pi 4 single board computer to host the project, because it runs Linux and provides a lot of versatility. You speak the requests, and VoiceGPT responds with realistic, synthesized speech. VoiceGPT is a voice assistant that leverages the powerful ChatGPT chatbot to answer your questions. Here’s a list of the main cookies we use, and what we use them for:Įach web browser handles cookie management differently, please follow instructions for your chosen browser:
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