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Modeling, Scaling, and Decoding: Optimizing Controllable Speech Generation with Nonverbal Vocalizations
Controllable synthesis of nonverbal vocalizations (NVVs) is es- sential for natural and expressive speech, but remains challeng- ing due to their acoustic diversity and imbalanced distribution in existing corpora. To address these challenges, we develop an NVV-aware DiTAR system that models continuo
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