ProPS uses a mixture density network conditioned on SBERT text embeddings to generate Gaussian mixture models over speaker x-vectors from natural language profile descriptions.
Zero-shot multi-speaker text-to-speech with state-of-the-art neural speaker embeddings,
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ProPS: Prompted Profile Synthesis for Natural Language-Conditioned Speaker Embedding Distributions
ProPS uses a mixture density network conditioned on SBERT text embeddings to generate Gaussian mixture models over speaker x-vectors from natural language profile descriptions.