7 citations · 12 across the 6 of their papers we have counts for
4 papers · 1 filter
Deep Learning-Based Single-Ended Objective Quality Measures for Time-Scale Modified Audio
Timothy Roberts, Aaron Nicolson, Kuldip K. Paliwal
Objective evaluation of audio processed with Time-Scale Modification (TSM) is seeing a resurgence of interest. Recently, a labelled time-scaled audio dataset was used to train an o…
A time-scale modification dataset with subjective quality labels
Timothy Roberts, Kuldip K. Paliwal
Time Scale Modification (TSM) is a well-researched field; however, no effective objective measure of quality exists. This paper details the creation, subjective evaluation, and ana…
An Objective Measure of Quality for Time-Scale Modification of Audio
Timothy Roberts, Kuldip K. Paliwal
Objective evaluation of audio processed with Time-Scale Modification (TSM) remains an open problem. Recently, a dataset of time-scaled audio with subjective quality labels was publ…
Deep Residual-Dense Lattice Network for Speech Enhancement
Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao +3
Convolutional neural networks (CNNs) with residual links (ResNets) and causal dilated convolutional units have been the network of choice for deep learning approaches to speech enh…