What is this?
AudioGPT is an open-source research system for understanding and generating speech, music, sound, and talking heads — pretrained foundation models wrapped behind prompt-driven audio tasks.
AudioGPT is an open-source research system for understanding and generating speech, music, sound, and talking heads — pretrained foundation models wrapped behind prompt-driven audio tasks.Is this an app I install, or code I run myself?Code you run: it's a Python research repository that ships implementations and pretrained models organized by task — speech, singing, general audio, and talking head — not an installable app.
Code you run: it's a Python research repository that ships implementations and pretrained models organized by task — speech, singing, general audio, and talking head — not an installable app.How do I get it running?Clone the repo and follow run.md — the README's entire Get Started section points there. It's Python, so you set up an environment with the dependencies for whichever tasks you want to run.
Clone the repo and follow run.md — the README's entire Get Started section points there. It's Python, so you set up an environment with the dependencies for whichever tasks you want to run.What do I need to have installed first?Python is the base requirement; the repo ships no Docker image, Makefile, or prebuilt binaries, so expect a manual Python environment plus each model's own dependencies.
Python is the base requirement; the repo ships no Docker image, Makefile, or prebuilt binaries, so expect a manual Python environment plus each model's own dependencies.Are all of its features actually finished?No — several tasks are marked WIP, including text-to-speech, speech enhancement and separation, text-to-sing, and talking head synthesis, and speech translation hasn't shipped. More models and tasks are coming, so treat it as evolving research code.
No — several tasks are marked WIP, including text-to-speech, speech enhancement and separation, text-to-sing, and talking head synthesis, and speech translation hasn't shipped. More models and tasks are coming, so treat it as evolving research code.What can it actually generate and understand?A lot: speech recognition (whisper, Conformer), text-to-speech (FastSpeech, SyntaSpeech, VITS), style transfer, speech enhancement and separation, text-to-sing (DiffSinger, VISinger), text-to-audio, audio inpainting, image-to-audio, sound detection and extraction, and talking head synthesis (GeneFace).
A lot: speech recognition (whisper, Conformer), text-to-speech (FastSpeech, SyntaSpeech, VITS), style transfer, speech enhancement and separation, text-to-sing (DiffSinger, VISinger), text-to-audio, audio inpainting, image-to-audio, sound detection and extraction, and talking head synthesis (GeneFace).Do I talk to it in plain language, or write code?It's prompt-driven: the README points to prompt examples in its asset folder, and it credits Visual ChatGPT and LangChain among its building blocks, so the flow is describing the audio task in natural language and letting the system pick the right model.
It's prompt-driven: the README points to prompt examples in its asset folder, and it credits Visual ChatGPT and LangChain among its building blocks, so the flow is describing the audio task in natural language and letting the system pick the right model.Can I reuse the models in my own project?That's unclear: GitHub lists no standard license for the repo (NOASSERTION), and the README doesn't spell out usage terms, so check with the authors before building anything commercial on top of it.
That's unclear: GitHub lists no standard license for the repo (NOASSERTION), and the README doesn't spell out usage terms, so check with the authors before building anything commercial on top of it.Which topics is it in?talking-head, text-to-audio, speech, audio-generation, voice, whisper, langchain, speech-recognition, music, tts, text-to-speech, gpt
talking-head, text-to-audio, speech, audio-generation, voice, whisper, langchain, speech-recognition, music, tts, text-to-speech, gpt