859 citations · 3.5k across the 72 of their papers we have counts for
5 papers · 2 filters
Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning
Diep Luong, Minh Tran, Shayan Gharib +2
Privacy preservation has long been a concern in smart acoustic monitoring systems, where speech can be passively recorded along with a target signal in the system's operating envir…
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam +9
While direction of arrival (DOA) of sound events is generally estimated from multichannel audio data recorded in a microphone array, sound events usually derive from visually perce…
Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes
Wei Xie, Yanxiong Li, Qianhua He +2
New classes of sounds constantly emerge with a few samples, making it challenging for models to adapt to dynamic acoustic environments. This challenge motivates us to address the n…
Adversarial Representation Learning for Robust Privacy Preservation in Audio
Shayan Gharib, Minh Tran, Diep Luong +2
Sound event detection systems are widely used in various applications such as surveillance and environmental monitoring where data is automatically collected, processed, and sent t…
Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints
Paul Magron, Tuomas Virtanen
Audio source separation is often achieved by estimating the magnitude spectrogram of each source, and then applying a phase recovery (or spectrogram inversion) algorithm to retriev…