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Achieve more robust and higher-quality speech synthesis from neural codec language models without any retraining, simply by pruning unnatural token sequences during inference.
Achieve high-fidelity bandwidth extension by operating directly in the latent space of neural audio codecs, sidestepping the computational costs and fidelity limitations of spectrogram or waveform-based methods.