5 citations · 7 across the 5 of their papers we have counts for
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eess.AS2021
SpeechMoE2: Mixture-of-Experts Model with Improved Routing
Zhao You, Shulin Feng, Dan Su +1
Mixture-of-experts based acoustic models with dynamic routing mechanisms have proved promising results for speech recognition. The design principle of router architecture is import…
cs.SD2021★ 5 cited
SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts
Zhao You, Shulin Feng, Dan Su +1
Recently, Mixture of Experts (MoE) based Transformer has shown promising results in many domains. This is largely due to the following advantages of this architecture: firstly, MoE…
eess.AS2021
Latency-Controlled Neural Architecture Search for Streaming Speech Recognition
Liqiang He, Shulin Feng, Dan Su +1
Neural architecture search (NAS) has attracted much attention and has been explored for automatic speech recognition (ASR). In this work, we focus on streaming ASR scenarios and pr…