23 citations · 26 across the 3 of their papers we have counts for
3 papers
eess.AS2025
Less is More: Data Curation Matters in Scaling Speech Enhancement
Chenda Li, Wangyou Zhang, Wei Wang +10
The vast majority of modern speech enhancement systems rely on data-driven neural network models. Conventionally, larger datasets are presumed to yield superior model performance,…
cs.SD2023★ 3 cited
DQ-Whisper: Joint Distillation and Quantization for Efficient Multilingual Speech Recognition
Hang Shao, Bei Liu, Wei Wang +2
As a popular multilingual and multitask pre-trained speech model, Whisper has the problem of curse of multilinguality. To enhance multilingual capabilities in small Whisper models,…
cs.SD2022★ 23 cited
Layer-wise Fast Adaptation for End-to-End Multi-Accent Speech Recognition
Xun Gong, Yizhou Lu, Zhikai Zhou +1
Accent variability has posed a huge challenge to automatic speech recognition~(ASR) modeling. Although one-hot accent vector based adaptation systems are commonly used, they requir…