Meta Spirit LM introduces a more advanced solution by incorporating phonetic, pitch, and tone tokens, which enable the model to capture the complexities of human speech and reflect them in its generated speech. The model is trained on a combination of text and speech datasets, allowing it to perform cross-modal tasks like speech-to-text and text-to-speech while maintaining the natural expressiveness of speech in its outputs.
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