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Navigating Text-to-Speech Model Training
This chapter explores the intricacies of training text-to-speech models, highlighting the need for diverse audio samples and the challenges in aligning text and audio-based responses. It further discusses the selection process between large and small transformer models, emphasizing the use of a 7 billion parameter baseline and advancements in model distillation for efficiency.