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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。