Sla-former: conformer using shifted linear attention for audio-visual speech recognition

Y Xiao, J Huang, X Liu, A Zhu - Complex & Intelligent Systems, 2024 - Springer
Conformer-based models have proven highly effective in Audio-visual Speech Recognition,
integrating auditory and visual inputs to significantly enhance speech recognition accuracy …

Enhancing Quantised End-to-End ASR Models Via Personalisation

Q Zhao, G Sun, C Zhang, M Xu… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Recent end-to-end automatic speech recognition (ASR) models have become increasingly
larger, making them particularly challenging to be deployed on resource-constrained …

Residualtransformer: Residual Low-Rank Learning With Weight-Sharing For Transformer Layers

Y Wang, J Li - … 2024-2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Memory constraint of always-on devices is one of the major concerns when deploying
speech processing models on these devices. While larger models trained with sufficiently …

WiFi Sensing at the Edge Towards Scalable On-Device Wireless Sensing Systems

SM Hernandez - 2023 - scholarscompass.vcu.edu
WiFi sensing offers a powerful method for tracking physical activities using the radio-
frequency signals already found throughout our homes and offices. This novel sensing …