activity
20242026
most citedSPMamba: State-space model is all you need in speech separation

8 citations · 9 across the 14 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.CV2026

CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy

Zekang Yang, Jiamin Li, Zhenghua Li +3

Automatic neuron reconstruction from light microscopy images is a central problem in computational neuroanatomy. While recent methods have achieved encouraging results on local ima…

cs.SD2026

The SonicAGI System for the REAL-TSE Challenge

Kai Li, Wendi Sang, Jintao Cheng +1

Real-world target speaker extraction (TSE) remains challenging because target speech, interference, and enrollment are recorded under mismatched acoustic conditions with reverberat…

cs.LG2026

A Brain-Inspired Deep Separation Network for Single Channel Raman Spectra Unmixing

Gaoruishu Long, Jinchao Liu, Bo Liu +2

Raman spectra obtained in real world applications are often a noisy combination of several spectra of various substances in a tested sample. Unmixing such spectra into individual c…

cs.LG2026

A-LLM: An End-to-end Conversational Audio Avatar Large Language Model

Xiaolin Hu, Hang Yuan, Xinzhu Sang +4

Developing expressive and responsive conversational digital humans is a cornerstone of next-generation human-computer interaction. While large language models (LLMs) have significa…

cs.SD2026

A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation

Kai Li, Jintao Cheng, Chang Zeng +5

Query-based universal sound separation is fundamental to intelligent auditory systems, aiming to isolate specific sources from mixtures. Despite recent advances, existing methods c…