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FastSpeech是一种用于语音合成（TTS）的端到端模型。它旨在提高传统文本到语音系统的速度，并通过使用深度学习技术提供更自然的语音合成效果。FastSpeech 引入了 Transformer 架构，通过使用自注意力机制，可以并行地处理输入序列，提高了模型的训练和推理速度。
本项目使用了LJSpeech数据集，实现了数据读取，FastSpeech网络的训练和评估，以及根据文本生成语音的功能。