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Whisper.cpp + Llama.cpp + ElevenLabs: Local GPT-4o-like Voice Heaven
Artificial Intelligence   Data Science   Latest   Machine Learning

Whisper.cpp + Llama.cpp + ElevenLabs: Local GPT-4o-like Voice Heaven

Last Updated on June 4, 2024 by Editorial Team

Author(s): Vatsal Saglani

Originally published on Towards AI.

Building a voice-driven assistant for Q&A on YouTube videos
Image generated by ChatGPT

The GPT-4o (omni) and Gemini-1.5 release has created quite a lot of buzz in the GenAI space. Both of these models have the multi-modal capability to understand voice, text, and image (video) to output text (and audio via the text).

Trying to follow this I wanted to create a bot that could use local models and for voice transcription, text generation, and answering via audio. So I decided to use Whisper.cpp and Llama.cpp for real-time transcription of voice and generation of response based on that transcribed text. The only missing part of this puzzle was to generate audio from the generated reply. I searched a lot and couldn’t find any viable options for a realistic text-to-speech output. Hence, I didn’t have any other option but to use ElevenLabs, which is also a great option!

All of these tools have a Python library to quickly build things on top of these tools. For Whisper.cpp we’ll use the pywhispercpp Python library. We have got the llama-cpp-python library that provides Python bindings for llama.cpp and ElevenLabs also has a Python library which we can use to convert text to audio and stream the audio.

Instead of just building a voice assistant bot we’ll… Read the full blog for free on Medium.

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