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Post-norm normalization significantly enhances performance in LLMs when depth is introduced through a curriculum, outperforming pre-norm by an order of magnitude.
Achieving speech intelligibility that consistently surpasses ground-truth recordings, Phoenix TTS redefines the boundaries of zero-shot TTS and voice conversion.
MMAC reveals stark differences in audio captioning performance across multiple dimensions, challenging the adequacy of current evaluation methods.
SARA achieves a groundbreaking balance between high-fidelity audio and precise linguistic alignment, setting a new standard for zero-shot TTS systems.
