most citedSelf-Supervised Learning-Based Source Separation for Meeting Data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024

Hard-Synth: Synthesizing Diverse Hard Samples for ASR using Zero-Shot TTS and LLM

Jiawei Yu, Yuang Li, Xiaosong Qiao +6

Text-to-speech (TTS) models have been widely adopted to enhance automatic speech recognition (ASR) systems using text-only corpora, thereby reducing the cost of labeling real speec…

eess.AS2023★ 1 cited

Self-Supervised Learning-Based Source Separation for Meeting Data

Yuang Li, Xianrui Zheng, Philip C. Woodland

Source separation can improve automatic speech recognition (ASR) under multi-party meeting scenarios by extracting single-speaker signals from overlapped speech. Despite the succes…