2025
StableQuant: Layer Adaptive Post-Training Quantization for Speech Foundation Models
ICASSP 2025accepted
In this paper, we propose StableQuant, a novel adaptive post-training quantization (PTQ) algorithm for widely used speech foundation models (SFMs). While PTQ has been successfully employed for compressing large language models (LLMs) due to its ability to bypass additional fine-tuning, directly appl…