20 citations · 32 across the 14 of their papers we have counts for
5 papers · 1 filter
SOT Triggered Neural Clustering for Speaker Attributed ASR
Xianrui Zheng, Guangzhi Sun, Chao Zhang +1
This paper introduces a novel approach to speaker-attributed ASR transcription using a neural clustering method. With a parallel processing mechanism, diarisation and ASR can be ap…
Whisper-PMFA: Partial Multi-Scale Feature Aggregation for Speaker Verification using Whisper Models
Yiyang Zhao, Shuai Wang, Guangzhi Sun +4
In this paper, Whisper, a large-scale pre-trained model for automatic speech recognition, is proposed to apply to speaker verification. A partial multi-scale feature aggregation (P…
Speaker Adaptation for Quantised End-to-End ASR Models
Qiuming Zhao, Guangzhi Sun, Chao Zhang +2
End-to-end models have shown superior performance for automatic speech recognition (ASR). However, such models are often very large in size and thus challenging to deploy on resour…
SAML: Speaker Adaptive Mixture of LoRA Experts for End-to-End ASR
Qiuming Zhao, Guangzhi Sun, Chao Zhang +2
Mixture-of-experts (MoE) models have achieved excellent results in many tasks. However, conventional MoE models are often very large, making them challenging to deploy on resource-…
CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models
Guangzhi Sun, Potsawee Manakul, Adian Liusie +4
Multimodal foundation models are prone to hallucination, generating outputs that either contradict the input or are not grounded by factual information. Given the diversity in arch…