海阔天空蓝

一个玩过n种运动的语音合成算法攻城狮

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gnn-tts-papers

Graph neural network TTS paper list

  1. Exploiting Syntactic Features in a Parsed Tree to Improve End-to-End TTS | Interspeech 2019 | 西北工业大学谢磊团队
  2. GraphTTS | ICASSP 2020 | 平安科技TTS团队
  3. GraphSpeech | ICASSP 2021 | 新加坡国立大学 李海洲团队
  4. GraphPB | SLT 2021 | 平安科技TTS团队
  5. SYNTACTIC REPRESENTATION LEARNING FOR NEURAL NETWORK BASED TTS WITH SYNTACTIC PARSE TREE TRAVERSAL | ICASSP 2021 | 清华大学深研院 吴致勇团队
  6. Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesis | Interspeech 2021? | 清华大学深研院 吴致勇团队
  7. SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech | IJCAI 2022 | 浙江大学 赵洲 任意团队
  8. Applying Syntax–Prosody Mapping Hypothesis and Prosodic Well-Formedness Constraints to Neural Sequence-to-Sequence Speech Synthesis | Japan