most citedImproving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies

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

collaborators

2 papers

cs.MA2024

QTypeMix: Enhancing Multi-Agent Cooperative Strategies through Heterogeneous and Homogeneous Value Decomposition

Songchen Fu, Shaojing Zhao, Ta Li +1

In multi-agent cooperative tasks, the presence of heterogeneous agents is familiar. Compared to cooperation among homogeneous agents, collaboration requires considering the best-su…

eess.AS2022★ 1 cited

Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies

Zehan Li, Haoran Miao, Keqi Deng +4

There is often a trade-off between performance and latency in streaming automatic speech recognition (ASR). Traditional methods such as look-ahead and chunk-based methods, usually…