Multimodal

AudioGPT

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First page

The curator’s take

Connects ChatGPT with audio foundational models for speech, music, sound, and talking head tasks.

Key points

LLM as audio orchestrator: ChatGPT plans and dispatches audio tasks across specialist models (TTS, ASR, music generation, sound effects).

Modality transformation: Converts speech to text for ChatGPT processing, then generates speech from ChatGPT's text output.

Spoken dialogue: Enables end-to-end spoken dialogue where users talk to ChatGPT and it talks back.

Multi-modal agent pattern: An early example of the LLM-as-orchestrator pattern applied to audio, presaging 2024's fully multimodal voice agents.

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