1 citations · 1 across the 8 of their papers we have counts for
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BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR
Guodong Ma, Wenxuan Wang, Lifeng Zhou +3
Recently, the Mixture of Expert (MoE) architecture, such as LR-MoE, is often used to alleviate the impact of language confusion on the multilingual ASR (MASR) task. However, it sti…
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval
Lifeng Zhou, Yuke Li, Rui Deng +2
The success of speech-image retrieval relies on establishing an effective alignment between speech and image. Existing methods often model cross-modal interaction through simple co…
Enhancing the Unified Streaming and Non-streaming Model with Contrastive Learning
Yuting Yang, Yuke Li, Binbin Du
The unified streaming and non-streaming speech recognition model has achieved great success due to its comprehensive capabilities. In this paper, we propose to improve the accuracy…
Improving CTC-based ASR Models with Gated Interlayer Collaboration
Yuting Yang, Yuke Li, Binbin Du
The CTC-based automatic speech recognition (ASR) models without the external language model usually lack the capacity to model conditional dependencies and textual interactions. In…
Multi-Level Modeling Units for End-to-End Mandarin Speech Recognition
Yuting Yang, Binbin Du, Yuke Li
The choice of modeling units is crucial for automatic speech recognition (ASR) tasks. In mandarin scenarios, the Chinese characters represent meaning but are not directly related t…
BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge
Yuting Yang, Binbin Du, Yingxin Zhang +2
This paper introduces the system submitted by the Yidun NISP team to the video keyword wakeup challenge. We propose a mandarin keyword spotting system (KWS) with several novel and…