Dr Andrew Hines
Speech, audio and video signal processing, spatial audio, hearing models, machine learning for computational quality models, cryptosystems.
Selected publications by topic:
Speech and Audio
C. Sloan, D. Kelly, A.C. Kokaram, N. Harte, A. Hines. Objective Assessment of Perceptual Audio Quality using ViSQOLAudio. IEEE Transactions on Broadcasting, 2017
A. Hines, J.Skoglund, A.C. Kokaram, N. Harte. VISQOL: an objective speech quality model. EURASIP Journal on Audio, Speech, and Music Processing, 2015:13.
A. Hines, E. Gillen, D. Kelly, J. Skoglund, A. Kokaram, N. Harte. ViSQOLAudio: An Objective Audio Quality Metric for Low Bitrate Codecs. J. Acoust. Soc. Am., 137, EL449, 2015
P. Pocta, H. Melvin, A. Hines. An Analysis of the Impact of Playout Delay Adjustments introduced by VoIP Jitter Buffers on Listening Speech Quality. Acta Acustica united with Acustica, 101(3):616–631, 2015
A. Hines, N. Harte. Speech intelligibility prediction using a Neurogram Similarity Index Measure. Speech Communication, 54 (2):306–320, 2012.
A. Hines, N. Harte. Speech intelligibility from image processing. Speech Communication, 52(9):736–752, 2010.
A. Hines, John D. Kelleher. Post-Stroke Quality of Life Prediction using Structured Prediction: Defining QoL for Novel Applications of Clinical Data. In Quality of Multimedia Experience (QoMEX), Ninth International Conference on, 2017.
A. Hines, P. Kendrick, A. Barri, M. Narwaria, J. A. Redi. Robustness And Prediction Accuracy Of Machine Learning For Objective Visual Quality Assessment. In EUSIPCO, Lisbon, Portugal, 2014.