10 citations · 17 across the 4 of their papers we have counts for
4 papers
Automatic Contextual Audio Denoising
Diep Luong, Konstantinos Drossos, Mikko Heikkinen +1
Audio context determines which sound components and sources are relevant and which can be perceived as irrelevant (noise) by listeners. For example, traffic noise is informative in…
Knowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance
Diep Luong, Mikko Heikkinen, Konstantinos Drossos +1
Speech denoising is a generally adopted and impactful task, appearing in many common and everyday-life use cases. Although there are very powerful methods published, most of those…
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…
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…