Wave-U-Mamba: An End-To-End Framework For High-Quality And Efficient Speech Super Resolution

Documenti analoghi

• Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection
  di: Zhou, Xuanru, et al.
  Pubblicazione: (2024)
• Toward Fully-End-to-End Listened Speech Decoding from EEG Signals
  di: Lee, Jihwan, et al.
  Pubblicazione: (2024)
• FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow Matching
  di: Yun, Jun-Hak, et al.
  Pubblicazione: (2025)
• A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Speech Translation
  di: Ma, Zhengrui, et al.
  Pubblicazione: (2024)
• Qifusion-Net: Layer-adapted Stream/Non-stream Model for End-to-End Multi-Accent Speech Recognition
  di: Chen, Jinming, et al.
  Pubblicazione: (2024)