29 citations · 75 across the 12 of their papers we have counts for
12 papers
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…
Squeeze-and-Excite ResNet-Conformers for Sound Event Localization, Detection, and Distance Estimation for DCASE 2024 Challenge
Jun Wei Yeow, Ee-Leng Tan, Jisheng Bai +2
This technical report details our systems submitted for Task 3 of the DCASE 2024 Challenge: Audio and Audiovisual Sound Event Localization and Detection (SELD) with Source Distance…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…