1 citations · 1 across the 1 of their papers we have counts for
3 papers
eess.AS2021
Handling Background Noise in Neural Speech Generation
Tom Denton, Alejandro Luebs, Felicia S. C. Lim +4
Recent advances in neural-network based generative modeling of speech has shown great potential for speech coding. However, the performance of such models drops when the input is n…
eess.AS2021
Generative Speech Coding with Predictive Variance Regularization
W. Bastiaan Kleijn, Andrew Storus, Michael Chinen +5
The recent emergence of machine-learning based generative models for speech suggests a significant reduction in bit rate for speech codecs is possible. However, the performance of…
cs.GR2014★ 1 cited
Tracing Analytic Ray Curves for Light and Sound Propagation in Non-linear Media
Qi Mo, Hengchin Yeh, Dinesh Manocha
The physical world consists of spatially varying media, such as the atmosphere and the ocean, in which light and sound propagates along non-linear trajectories. This presents a cha…