216 citations · 298 across the 28 of their papers we have counts for
6 papers · 1 filter
Enhanced Neural Beamformer with Spatial Information for Target Speech Extraction
Aoqi Guo, Junnan Wu, Peng Gao +4
Recently, deep learning-based beamforming algorithms have shown promising performance in target speech extraction tasks. However, most systems do not fully utilize spatial informat…
AV-SepFormer: Cross-Attention SepFormer for Audio-Visual Target Speaker Extraction
Jiuxin Lin, Xinyu Cai, Heinrich Dinkel +7
Visual information can serve as an effective cue for target speaker extraction (TSE) and is vital to improving extraction performance. In this paper, we propose AV-SepFormer, a Sep…
Focus on the Sound around You: Monaural Target Speaker Extraction via Distance and Speaker Information
Jiuxin Lin, Peng Wang, Heinrich Dinkel +6
Previously, Target Speaker Extraction (TSE) has yielded outstanding performance in certain application scenarios for speech enhancement and source separation. However, obtaining au…
Exploring Representation Learning for Small-Footprint Keyword Spotting
Fan Cui, Liyong Guo, Quandong Wang +2
In this paper, we investigate representation learning for low-resource keyword spotting (KWS). The main challenges of KWS are limited labeled data and limited available device reso…
Relate auditory speech to EEG by shallow-deep attention-based network
Fan Cui, Liyong Guo, Lang He +4
Electroencephalography (EEG) plays a vital role in detecting how brain responses to different stimulus. In this paper, we propose a novel Shallow-Deep Attention-based Network (SDAN…
Improving Weakly Supervised Sound Event Detection with Causal Intervention
Yifei Xin, Dongchao Yang, Fan Cui +2
Existing weakly supervised sound event detection (WSSED) work has not explored both types of co-occurrences simultaneously, i.e., some sound events often co-occur, and their occurr…