activity
20202025
most citedSSDPT: Self-Supervised Dual-Path Transformer for Anomalous Sound Detection in Machine Condition Monitoring

29 citations · 74 across the 13 of their papers we have counts for

collaborators

13 papers

cs.SD2025

Dynamic Fusion Multimodal Network for SpeechWellness Detection

Wenqiang Sun, Han Yin, Jisheng Bai +1

Suicide is one of the leading causes of death among adolescents. Previous suicide risk prediction studies have primarily focused on either textual or acoustic information in isolat…

eess.AS2024

AudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language Models

Jisheng Bai, Haohe Liu, Mou Wang +5

With the emergence of audio-language models, constructing large-scale paired audio-language datasets has become essential yet challenging for model development, primarily due to th…

eess.AS2024

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…

cs.SD2024★ 3 cited

Sound event localization and classification using WASN in Outdoor Environment

Dongzhe Zhang, Jianfeng Chen, Jisheng Bai +4

Deep learning-based sound event localization and classification is an emerging research area within wireless acoustic sensor networks. However, current methods for sound event loca…

eess.AS2024★ 5 cited

Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift

Jisheng Bai, Mou Wang, Haohe Liu +11

Acoustic scene classification (ASC) is a crucial research problem in computational auditory scene analysis, and it aims to recognize the unique acoustic characteristics of an envir…

eess.AS2024

Sub-band and Full-band Interactive U-Net with DPRNN for Demixing Cross-talk Stereo Music

Han Yin, Mou Wang, Jisheng Bai +3

This paper presents a detailed description of our proposed methods for the ICASSP 2024 Cadenza Challenge. Experimental results show that the proposed system can achieve better perf…

eess.AS2023★ 1 cited

Interactive Dual-Conformer with Scene-Inspired Mask for Soft Sound Event Detection

Han Yin, Jisheng Bai, Mou Wang +3

Traditional binary hard labels for sound event detection (SED) lack details about the complexity and variability of sound event distributions. Recently, a novel annotation workflow…

eess.AS2023★ 1 cited

AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning

Jisheng Bai, Han Yin, Mou Wang +4

Previous studies in automated audio captioning have faced difficulties in accurately capturing the complete temporal details of acoustic scenes and events within long audio sequenc…

eess.AS2023★ 1 cited

Dynamic Kernel Convolution Network with Scene-dedicate Training for Sound Event Localization and Detection

Siwei Huang, Jianfeng Chen, Jisheng Bai +2

DNN-based methods have shown high performance in sound event localization and detection(SELD). While in real spatial sound scenes, reverberation and the imbalanced presence of vari…

eess.AS2023

Convolutional Recurrent Neural Network with Attention for 3D Speech Enhancement

Han Yin, Jisheng Bai, Mou Wang +3

3D speech enhancement can effectively improve the auditory experience and plays a crucial role in augmented reality technology. However, traditional convolutional-based speech enha…

eess.AS2022★ 29 cited

SSDPT: Self-Supervised Dual-Path Transformer for Anomalous Sound Detection in Machine Condition Monitoring

Jisheng Bai, Jianfeng Chen, Mou Wang +2

Anomalous sound detection for machine condition monitoring has great potential in the development of Industry 4.0. However, these anomalous sounds of machines are usually unavailab…

eess.AS2022★ 20 cited

A Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition

Jisheng Bai, Jianfeng Chen, Mou Wang +1

Environmental sound recognition (ESR) is an emerging research topic in audio pattern recognition. Many tasks are presented to resort to computational models for ESR in real-life ap…

eess.AS2020★ 14 cited

Multimodal Urban Sound Tagging with Spatiotemporal Context

Jisheng Bai, Jianfeng Chen, Mou Wang

Noise pollution significantly affects our daily life and urban development. Urban Sound Tagging (UST) has attracted much attention recently, which aims to analyze and monitor urban…