3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2022
On Compressing Sequences for Self-Supervised Speech Models
Yen Meng, Hsuan-Jui Chen, Jiatong Shi +4
Compressing self-supervised models has become increasingly necessary, as self-supervised models become larger. While previous approaches have primarily focused on compressing the m…
cs.CL2022★ 3 cited
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities
Hsiang-Sheng Tsai, Heng-Jui Chang, Wen-Chin Huang +14
Transfer learning has proven to be crucial in advancing the state of speech and natural language processing research in recent years. In speech, a model pre-trained by self-supervi…