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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.
Current speech-to-speech models may sound good, but they miss the mark on natural conversational dynamics, revealing critical areas for improvement.
Matched reference regimes for prosody evaluation reveal that traditional methods over-flag deviations, leading to misinterpretations in speech AI assessments.
