10 papers
Environmental Sound Classification on An Embedded Hardware Platform
Gabriel Bibbo, Arshdeep Singh, Mark D. Plumbley
Convolutional neural networks (CNNs) have exhibited state-of-the-art performance in various audio classification tasks. However, their real-time deployment remains a challenge on r…
Integrating IP Broadcasting with Audio Tags: Workflow and Challenges
Rhys Burchett-Vass, Arshdeep Singh, Gabriel Bibbó +1
The broadcasting industry has adopted IP technologies, revolutionising both live and pre-recorded content production, from news gathering to live music events. IP broadcasting allo…
PSELDNets: Pre-trained Neural Networks on a Large-scale Synthetic Dataset for Sound Event Localization and Detection
Jinbo Hu, Yin Cao, Ming Wu +5
Sound event localization and detection (SELD) has seen substantial advancements through learning-based methods. These systems, typically trained from scratch on specific datasets,…
Acoustic Prompt Tuning: Empowering Large Language Models with Audition Capabilities
Jinhua Liang, Xubo Liu, Wenwu Wang +3
The auditory system plays a substantial role in shaping the overall human perceptual experience. While prevailing large language models (LLMs) and visual language models (VLMs) hav…
FlowSep: Language-Queried Sound Separation with Rectified Flow Matching
Yi Yuan, Xubo Liu, Haohe Liu +2
Language-queried audio source separation (LASS) focuses on separating sounds using textual descriptions of the desired sources. Current methods mainly use discriminative approaches…
Sound-VECaps: Improving Audio Generation with Visual Enhanced Captions
Yi Yuan, Dongya Jia, Xiaobin Zhuang +9
Generative models have shown significant achievements in audio generation tasks. However, existing models struggle with complex and detailed prompts, leading to potential performan…