Search Results for author: Aaron Nicolson

Found 6 papers, 5 papers with code

Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation

1 code implementation19 Jul 2023 Aaron Nicolson, Jason Dowling, Bevan Koopman

To improve diagnostic accuracy, we propose a CXR report generator that integrates aspects of the radiologist workflow and is trained with our proposed reward for reinforcement learning.

Face Model Multi-Task Learning +3

Improving Chest X-Ray Report Generation by Leveraging Warm Starting

1 code implementation24 Jan 2022 Aaron Nicolson, Jason Dowling, Bevan Koopman

Our experimental investigation demonstrates that the Convolutional vision Transformer (CvT) ImageNet-21K and the Distilled Generative Pre-trained Transformer 2 (DistilGPT2) checkpoints are best for warm starting the encoder and decoder, respectively.

Text Generation

Deep Learning-Based Single-Ended Objective Quality Measures for Time-Scale Modified Audio

1 code implementation7 Sep 2020 Timothy Roberts, Aaron Nicolson, Kuldip K. Paliwal

This DE measure was an extension of Perceptual Evaluation of Audio Quality, and required reference and test signals.

Deep Residual-Dense Lattice Network for Speech Enhancement

2 code implementations27 Feb 2020 Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang

Motivated by this, we propose the residual-dense lattice network (RDL-Net), which is a new CNN for speech enhancement that employs both residual and dense aggregations without over-allocating parameters for feature re-usage.

Speech Enhancement

Deep learning for minimum mean-square error approaches to speech enhancement

1 code implementation Speech communication 2019 Aaron Nicolson, Kuldip K. Paliwal

MMSE approaches utilising the proposed a priori SNR estimator are able to achieve higher enhanced speech quality and intelligibility scores than recent masking- and mapping-based deep learning approaches.

Speech Enhancement

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