5 papers
Efficient Text-to-Audio Generation via Pruning
Arshdeep Singh, Yi Yuan, Yun Chen +2
Diffusion-based text-to-audio generative models such as AudioLDM achieve high perceptual quality and strong semantic consistency; however, their practical deployment is hindered by…
Compressing Quaternion Convolutional Neural Networks for Audio Classification
Arshdeep Singh, Vinayak Abrol, Mark D. Plumbley
Conventional Convolutional Neural Networks (CNNs) in the real domain have been widely used for audio classification. However, their convolution operations process multi-channel inp…
ISSE: An Instruction-Guided Speech Style Editing Dataset And Benchmark
Yun Chen, Qi Chen, Zheqi Dai +3
Speech style editing refers to modifying the stylistic properties of speech while preserving its linguistic content and speaker identity. However, most existing approaches depend o…
The Sounds of Home: A Speech-Removed Residential Audio Dataset for Sound Event Detection
Gabriel Bibbó, Thomas Deacon, Arshdeep Singh +1
This paper presents a residential audio dataset to support sound event detection research for smart home applications aimed at promoting wellbeing for older adults. The dataset is…
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…