2 papers
cs.SD2025
LSZone: A Lightweight Spatial Information Modeling Architecture for Real-time In-car Multi-zone Speech Separation
Jun Chen, Shichao Hu, Jiuxin Lin +8
In-car multi-zone speech separation, which captures voices from different speech zones, plays a crucial role in human-vehicle interaction. Although previous SpatialNet has achieved…
eess.AS2024
DualSep: A Light-weight dual-encoder convolutional recurrent network for real-time in-car speech separation
Ziqian Wang, Jiayao Sun, Zihan Zhang +3
Advancements in deep learning and voice-activated technologies have driven the development of human-vehicle interaction. Distributed microphone arrays are widely used in in-car sce…