30 citations · 41 across the 22 of their papers we have counts for
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eess.AS2021★ 30 cited
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
Junyi Ao, Rui Wang, Long Zhou +11
Motivated by the success of T5 (Text-To-Text Transfer Transformer) in pre-trained natural language processing models, we propose a unified-modal SpeechT5 framework that explores th…
eess.AS2021★ 3 cited
Multi-View Self-Attention Based Transformer for Speaker Recognition
Rui Wang, Junyi Ao, Long Zhou +5
Initially developed for natural language processing (NLP), Transformer model is now widely used for speech processing tasks such as speaker recognition, due to its powerful sequenc…