Unfolding A Few Structures for The Many: Memory-Efficient Compression of Conformer and Speech Foundation Models

Documenti analoghi

• One-pass Multiple Conformer and Foundation Speech Systems Compression and Quantization Using An All-in-one Neural Model
  di: Li, Zhaoqing, et al.
  Pubblicazione: (2024)
• Structured Speaker-Deficiency Adaptation of Foundation Models for Dysarthric and Elderly Speech Recognition
  di: Hu, Shujie, et al.
  Pubblicazione: (2024)
• Towards One-bit ASR: Extremely Low-bit Conformer Quantization Using Co-training and Stochastic Precision
  di: Li, Zhaoqing, et al.
  Pubblicazione: (2025)
• Effective and Efficient Mixed Precision Quantization of Speech Foundation Models
  di: Xu, Haoning, et al.
  Pubblicazione: (2025)
• Enhancing Pre-trained ASR System Fine-tuning for Dysarthric Speech Recognition using Adversarial Data Augmentation
  di: Wang, Huimeng, et al.
  Pubblicazione: (2024)