MakeSinger: A Semi-Supervised Training Method for Data-Efficient Singing Voice Synthesis via Classifier-free Diffusion Guidance

Documenti analoghi

• Utilizing Neural Transducers for Two-Stage Text-to-Speech via Semantic Token Prediction
  di: Kim, Minchan, et al.
  Pubblicazione: (2024)
• SegINR: Segment-wise Implicit Neural Representation for Sequence Alignment in Neural Text-to-Speech
  di: Kim, Minchan, et al.
  Pubblicazione: (2024)
• Efficient Parallel Audio Generation using Group Masked Language Modeling
  di: Jeong, Myeonghun, et al.
  Pubblicazione: (2024)
• High Fidelity Text-to-Speech Via Discrete Tokens Using Token Transducer and Group Masked Language Model
  di: Lee, Joun Yeop, et al.
  Pubblicazione: (2024)
• MuSE-SVS: Multi-Singer Emotional Singing Voice Synthesizer that Controls Emotional Intensity
  di: Kim, Sungjae, et al.
  Pubblicazione: (2022)