research
∙
05/31/2023
ViLaS: Integrating Vision and Language into Automatic Speech Recognition
Employing additional multimodal information to improve automatic speech ...
share
research
∙
05/07/2023
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages
Large language models (LLMs) have demonstrated remarkable language abili...
research
∙
03/02/2023
Matching-based Term Semantics Pre-training for Spoken Patient Query Understanding
Medical Slot Filling (MSF) task aims to convert medical queries into str...
research
∙
02/02/2023
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition
The spiking neural network (SNN) using leaky-integrated-and-fire (LIF) n...
research
∙
01/30/2023
Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation
Large-scale pre-trained language models (PLMs) with powerful language mo...
research
∙
02/18/2022
VLP: A Survey on Vision-Language Pre-training
In the past few years, the emergence of pre-training models has brought ...
research
∙
01/30/2022
Improving End-to-End Contextual Speech Recognition with Fine-Grained Contextual Knowledge Selection
Nowadays, most methods in end-to-end contextual speech recognition bias ...
research
∙
12/17/2020
