Documenti analoghi

• ML-SUPERB: Multilingual Speech Universal PERformance Benchmark
  di: Shi, Jiatong, et al.
  Pubblicazione: (2023)
• Is Smaller Always Faster? Tradeoffs in Compressing Self-Supervised Speech Transformers
  di: Lin, Tzu-Quan, et al.
  Pubblicazione: (2022)
• Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding
  di: Hsu, Tzu-wen, et al.
  Pubblicazione: (2025)
• Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond
  di: Shi, Jiatong, et al.
  Pubblicazione: (2023)
• Do You Hear What I Mean? Quantifying the Instruction-Perception Gap in Instruction-Guided Expressive Text-To-Speech Systems
  di: Lin, Yi-Cheng, et al.
  Pubblicazione: (2025)