4 papers
DENSE: Dynamic Embedding Causal Target Speech Extraction
Yiwen Wang, Zeyu Yuan, Xihong Wu
Target speech extraction (TSE) focuses on extracting the speech of a specific target speaker from a mixture of signals. Existing TSE models typically utilize static embeddings as c…
Cross-attention Inspired Selective State Space Models for Target Sound Extraction
Donghang Wu, Yiwen Wang, Xihong Wu +1
The Transformer model, particularly its cross-attention module, is widely used for feature fusion in target sound extraction which extracts the signal of interest based on given cl…
TSE-PI: Target Sound Extraction under Reverberant Environments with Pitch Information
Yiwen Wang, Xihong Wu
Target sound extraction (TSE) separates the target sound from the mixture signals based on provided clues. However, the performance of existing models significantly degrades under…
Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals
Xiran Xu, Bo Wang, Boda Xiao +4
Researchers have reported high decoding accuracy (>95%) using non-invasive Electroencephalogram (EEG) signals for brain-computer interface (BCI) decoding tasks like image decoding,…