29 citations · 64 across the 4 of their papers we have counts for
4 papers
Complex-Valued Time-Frequency Self-Attention for Speech Dereverberation
Vinay Kothapally, John H. L. Hansen
Several speech processing systems have demonstrated considerable performance improvements when deep complex neural networks (DCNN) are coupled with self-attention (SA) networks. Ho…
SkipConvGAN: Monaural Speech Dereverberation using Generative Adversarial Networks via Complex Time-Frequency Masking
Vinay Kothapally, J. H. L. Hansen
With the advancements in deep learning approaches, the performance of speech enhancing systems in the presence of background noise have shown significant improvements. However, imp…
SkipConvNet: Skip Convolutional Neural Network for Speech Dereverberation using Optimally Smoothed Spectral Mapping
Vinay Kothapally, Wei Xia, Shahram Ghorbani +3
The reliability of using fully convolutional networks (FCNs) has been successfully demonstrated by recent studies in many speech applications. One of the most popular variants of t…
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition
Salar Jafarlou, Soheil Khorram, Vinay Kothapally +1
Despite significant efforts over the last few years to build a robust automatic speech recognition (ASR) system for different acoustic settings, the performance of the current stat…