5 citations · 7 across the 5 of their papers we have counts for
6 papers
Covo-Audio Technical Report
Wenfu Wang, Chenxing Li, Liqiang Zhang +23
In this work, we present Covo-Audio, a 7B-parameter end-to-end LALM that directly processes continuous audio inputs and generates audio outputs within a single unified architecture…
3M: Multi-loss, Multi-path and Multi-level Neural Networks for speech recognition
Zhao You, Shulin Feng, Dan Su +1
Recently, Conformer based CTC/AED model has become a mainstream architecture for ASR. In this paper, based on our prior work, we identify and integrate several approaches to achiev…
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…
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…
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…
Learning discriminative features in sequence training without requiring framewise labelled data
Jun Wang, Dan Su, Jie Chen +4
In this work, we try to answer two questions: Can deeply learned features with discriminative power benefit an ASR system's robustness to acoustic variability? And how to learn the…