132 citations · 272 across the 54 of their papers we have counts for
11 papers · 2 filters
XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection
Yang Xiao, Rohan Kumar Das
Transformers and their variants have achieved great success in speech processing. However, their multi-head self-attention mechanism is computationally expensive. Therefore, one no…
Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event Detection
Han Yin, Yang Xiao, Jisheng Bai +1
Sound Event Detection (SED) is challenging in noisy environments where overlapping sounds obscure target events. Language-queried audio source separation (LASS) aims to isolate the…
Exploring Text-Queried Sound Event Detection with Audio Source Separation
Han Yin, Jisheng Bai, Yang Xiao +6
In sound event detection (SED), overlapping sound events pose a significant challenge, as certain events can be easily masked by background noise or other events, resulting in poor…
TF-Mamba: A Time-Frequency Network for Sound Source Localization
Yang Xiao, Rohan Kumar Das
Sound source localization (SSL) determines the position of sound sources using multi-channel audio data. It is commonly used to improve speech enhancement and separation. Extractin…
Where's That Voice Coming? Continual Learning for Sound Source Localization
Yang Xiao, Rohan Kumar Das
Sound source localization (SSL) is essential for many speech-processing applications. Deep learning models have achieved high performance, but often fail when the training and infe…
UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection
Yang Xiao, Rohan Kumar Das
This work explores class-incremental learning (CIL) for sound event detection (SED), advancing adaptability towards real-world scenarios. CIL's success in domains like computer vis…
WildDESED: An LLM-Powered Dataset for Wild Domestic Environment Sound Event Detection System
Yang Xiao, Rohan Kumar Das
This work aims to advance sound event detection (SED) research by presenting a new large language model (LLM)-powered dataset namely wild domestic environment sound event detection…
DG-SED: Domain Generalization for Sound Event Detection with Heterogeneous Training Data
Yang Xiao, Han Yin, Jisheng Bai +1
This work explores domain generalization (DG) for sound event detection (SED), advancing adaptability to real-world scenarios. Our approach employs a mean-teacher framework with do…
FMSG-JLESS Submission for DCASE 2024 Task4 on Sound Event Detection with Heterogeneous Training Dataset and Potentially Missing Labels
Yang Xiao, Han Yin, Jisheng Bai +1
This report presents the systems developed and submitted by Fortemedia Singapore (FMSG) and Joint Laboratory of Environmental Sound Sensing (JLESS) for DCASE 2024 Task 4. The task…
How Do Neural Spoofing Countermeasures Detect Partially Spoofed Audio?
Tianchi Liu, Lin Zhang, Rohan Kumar Das +3
Partially manipulating a sentence can greatly change its meaning. Recent work shows that countermeasures (CMs) trained on partially spoofed audio can effectively detect such spoofi…
Enhancing Real-World Active Speaker Detection with Multi-Modal Extraction Pre-Training
Ruijie Tao, Xinyuan Qian, Rohan Kumar Das +3
Audio-visual active speaker detection (AV-ASD) aims to identify which visible face is speaking in a scene with one or more persons. Most existing AV-ASD methods prioritize capturin…