62 citations · 69 across the 3 of their papers we have counts for
3 papers
eess.AS2024★ 6 cited
Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition
Ye Bai, Jingping Chen, Jitong Chen +52
Modern automatic speech recognition (ASR) model is required to accurately transcribe diverse speech signals (from different domains, languages, accents, etc) given the specific con…
cs.SD2023★ 1 cited
A meta learning scheme for fast accent domain expansion in Mandarin speech recognition
Ziwei Zhu, Changhao Shan, Bihong Zhang +1
Spoken languages show significant variation across mandarin and accent. Despite the high performance of mandarin automatic speech recognition (ASR), accent ASR is still a challenge…
eess.AS2020★ 62 cited
DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement
Yanxin Hu, Yun Liu, Shubo Lv +6
Speech enhancement has benefited from the success of deep learning in terms of intelligibility and perceptual quality. Conventional time-frequency (TF) domain methods focus on pred…