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ProPS can generate speaker embeddings that accurately reflect complex attributes from simple natural language prompts, revolutionizing how we synthesize speaker identities.
Speech-aware LLMs are surprisingly bad at speaker verification, but a simple embedding injection trick closes the gap with dedicated systems while preserving the LLM's language abilities.
