27 citations · 58 across the 16 of their papers we have counts for
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cs.CL2023
Improving Large-scale Deep Biasing with Phoneme Features and Text-only Data in Streaming Transducer
Jin Qiu, Lu Huang, Boyu Li +3
Deep biasing for the Transducer can improve the recognition performance of rare words or contextual entities, which is essential in practical applications, especially for streaming…
eess.AS2023★ 5 cited
Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models
Guangzhi Sun, Wenyi Yu, Changli Tang +6
Audio-visual large language models (LLM) have drawn significant attention, yet the fine-grained combination of both input streams is rather under-explored, which is challenging but…
cs.SD2023★ 20 cited
SALMONN: Towards Generic Hearing Abilities for Large Language Models
Changli Tang, Wenyi Yu, Guangzhi Sun +6
Hearing is arguably an essential ability of artificial intelligence (AI) agents in the physical world, which refers to the perception and understanding of general auditory informat…