Injecting random noise into input embeddings during training lets purely autoregressive models generate continuous audio embeddings without quality degradation over long sequences.
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Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation
Injecting random noise into input embeddings during training lets purely autoregressive models generate continuous audio embeddings without quality degradation over long sequences.