38 citations · 47 across the 37 of their papers we have counts for
8 papers · 1 filter
Towards Automatic Data Augmentation for Disordered Speech Recognition
Zengrui Jin, Xurong Xie, Tianzi Wang +5
Automatic recognition of disordered speech remains a highly challenging task to date due to data scarcity. This paper presents a reinforcement learning (RL) based on-the-fly data a…
Audio-visual End-to-end Multi-channel Speech Separation, Dereverberation and Recognition
Guinan Li, Jiajun Deng, Mengzhe Geng +6
Accurate recognition of cocktail party speech containing overlapping speakers, noise and reverberation remains a highly challenging task to date. Motivated by the invariance of vis…
Hyper-parameter Adaptation of Conformer ASR Systems for Elderly and Dysarthric Speech Recognition
Tianzi Wang, Shoukang Hu, Jiajun Deng +5
Automatic recognition of disordered and elderly speech remains highly challenging tasks to date due to data scarcity. Parameter fine-tuning is often used to exploit the large quant…
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems
Jiajun Deng, Guinan Li, Xurong Xie +6
Rich sources of variability in natural speech present significant challenges to current data intensive speech recognition technologies. To model both speaker and environment level…
Towards Effective and Compact Contextual Representation for Conformer Transducer Speech Recognition Systems
Mingyu Cui, Jiawen Kang, Jiajun Deng +4
Current ASR systems are mainly trained and evaluated at the utterance level. Long range cross utterance context can be incorporated. A key task is to derive a suitable compact repr…
Use of Speech Impairment Severity for Dysarthric Speech Recognition
Mengzhe Geng, Zengrui Jin, Tianzi Wang +7
A key challenge in dysarthric speech recognition is the speaker-level diversity attributed to both speaker-identity associated factors such as gender, and speech impairment severit…
Confidence Score Based Speaker Adaptation of Conformer Speech Recognition Systems
Jiajun Deng, Xurong Xie, Tianzi Wang +6
Speaker adaptation techniques provide a powerful solution to customise automatic speech recognition (ASR) systems for individual users. Practical application of unsupervised model-…
Exploring Self-supervised Pre-trained ASR Models For Dysarthric and Elderly Speech Recognition
Shujie Hu, Xurong Xie, Zengrui Jin +6
Automatic recognition of disordered and elderly speech remains a highly challenging task to date due to the difficulty in collecting such data in large quantities. This paper explo…