Welcome to AI Daily! Join hosts Farb, Ethan, and Conner as they explore three groundbreaking AI stories First up, HierVST Voice Cloning - Experience zero-shot voice cloning with impressive accuracy using just one audio clip. Next, NVIDIA Perfusion - a small, powerful personalization model for text images, using key locking to maintain consistency. Lastly, Meta's AudioCraft - the fusion of music generation, audio generation, and codecs into one open-source code base, creating high-fidelity outputs.
Quick Points
1️⃣ HierVST Voice Cloning
Zero-shot voice cloning system achieves accurate outputs with just one audio clip.
Uses hierarchical models for long and short-term generation understanding.
Potential challenges in handling longer clips and need for further fine-tuning.
2️⃣ NVIDIA Perfusion
Personalization model for text images with key locking for subject consistency.
Only 100 kilobytes, trains in four minutes, and outperforms other models.
Open-source codebase, but may need improvements for human subjects.
3️⃣ Meta’s AudioCraft
Audio generation, music gen, and codecs combined into an open-source codebase.
High-fidelity outputs, 30 seconds of sounds, compressing audio files efficiently.
Meta making strides in audio AI, impressively opens research use for community.
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HierVST Voice Cloning | NVIDIA Perfusion | Meta's AudioCraft