30 citations · 41 across the 22 of their papers we have counts for
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eess.AS2024
SA-WavLM: Speaker-Aware Self-Supervised Pre-training for Mixture Speech
Jingru Lin, Meng Ge, Junyi Ao +2
It was shown that pre-trained models with self-supervised learning (SSL) techniques are effective in various downstream speech tasks. However, most such models are trained on singl…
cs.CL2024★ 1 cited
SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words
Junyi Ao, Yuancheng Wang, Xiaohai Tian +6
Speech encompasses a wealth of information, including but not limited to content, paralinguistic, and environmental information. This comprehensive nature of speech significantly i…
eess.AS2024
Text-guided HuBERT: Self-Supervised Speech Pre-training via Generative Adversarial Networks
Duo Ma, Xianghu Yue, Junyi Ao +2
Human language can be expressed in either written or spoken form, i.e. text or speech. Humans can acquire knowledge from text to improve speaking and listening. However, the quest…