34 citations · 131 across the 42 of their papers we have counts for
8 papers · 1 filter
Distribution-based Emotion Recognition in Conversation
Wen Wu, Chao Zhang, Philip C. Woodland
Automatic emotion recognition in conversation (ERC) is crucial for emotion-aware conversational artificial intelligence. This paper proposes a distribution-based framework that for…
Biased Self-supervised learning for ASR
Florian L. Kreyssig, Yangyang Shi, Jinxi Guo +3
Self-supervised learning via masked prediction pre-training (MPPT) has shown impressive performance on a range of speech-processing tasks. This paper proposes a method to bias self…
End-to-end Spoken Language Understanding with Tree-constrained Pointer Generator
Guangzhi Sun, Chao Zhang, Philip C. Woodland
End-to-end spoken language understanding (SLU) suffers from the long-tail word problem. This paper exploits contextual biasing, a technique to improve the speech recognition of rar…
Spectral Clustering-aware Learning of Embeddings for Speaker Diarisation
Evonne P. C. Lee, Guangzhi Sun, Chao Zhang +1
In speaker diarisation, speaker embedding extraction models often suffer from the mismatch between their training loss functions and the speaker clustering method. In this paper, w…
Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription
Xianrui Zheng, Chao Zhang, Philip C. Woodland
Self-supervised-learning-based pre-trained models for speech data, such as Wav2Vec 2.0 (W2V2), have become the backbone of many speech tasks. In this paper, to achieve speaker diar…
Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition
Guangzhi Sun, Chao Zhang, Philip C. Woodland
Incorporating biasing words obtained as contextual knowledge is critical for many automatic speech recognition (ASR) applications. This paper proposes the use of graph neural netwo…