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Advancing TTS with Audio Datasets

This chapter explores the critical role of well-structured audio datasets in training text-to-speech models, using the Fisher dataset as a key example. It also examines the challenges in syncing text and audio models while detailing advancements in model distillation for more efficient real-time dialogue interactions.

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