FastSpeech: Fast, Robust and Controllable Text to Speech
Abstract： 提出一種基於transformer的新型前饋網絡FastSpeech，和自迴歸的Transformer TTS相比 將梅爾譜的生成速度提高了近270倍。端到端的語音合成速度提高了38倍，大gpu上語音合成速度達到實時語音速度的30倍 Introduction： 基於神經網絡的tts和傳統語音合成的拼接法和參數法相比，end to end的TTS通常具有更好的聲音自然度。 但在基
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相關文章
- 1. 語音合成 | FastSpeech:Fast,Robust and Controllable Text to Speech論文閱讀
- 2. Almost Unsupervised Text to Speech and Automatic Speech Recognition
- 3. Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody
- 4. Azure Cognitive Services- Speech To Text
- 5. 5 Open Source Speech Recognition/Speech-to-Text Systems
- 6. 谷歌Text-to-Speech普遍可用，同時發佈Speech-to-Text更新
- 7. Hierarchical Generative Modeling for Controllable Speech Synthesis筆記
- 8. Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detect
- 9. 平安-Meta-learning for Multilingual Text-to-Speech
- 10. Windows phone 應用開發[1]-Text To Speech