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Achieving expressive TTS now hinges on effectively optimizing non-verbal vocalizations, with design choices impacting NV fidelity more than previously understood.
EmoTra-TTS achieves up to 87% improvement in emotional transition quality, redefining how TTS systems can convey nuanced human emotions in speech.
MemDefrag reveals that a simple tracing mechanism can boost knowledge retention in LLMs by over 25% after multiple memory updates.