Tacotron: Towards End-to-End Speech Synthesis
時間：2017.4 作者：yuxuan wang 單位：Google inc abstract 一個text-to-speech的系統包含text analysis fronted, an acoustic model and an audio synthesis module,搭建需要多方面的專業知識，而且這些模型都單獨訓練，誤差會被累加，訓練難度較大。 我們提出一個直接從character
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相關文章
- 1. Uncovering Latent Style Factors for Expressive Speech Synthesis
- 2. Tacotron1: TOWARDS END-TO-END SPEECH SYNTHESIS知識點說明
- 3. Hierarchical Generative Modeling for Controllable Speech Synthesis筆記
- 4. Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody
- 5. HTML5 之音頻合成（Speech Synthesis）
- 6. HTML5語音合成Speech Synthesis API簡介
- 7. Towards Open-Set Identity Preserving Face Synthesis（CVPR18）
- 8. 論文閱讀——Towards Adversarial Retinal Image Synthesis
- 9. Tacotron 2
- 10. Direct speech-to-speech translation with a sequence-to-sequence model