Browsing School of Engineering by Author "HINES, ANDREW"
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Error Metrics for Impaired Auditory Nerve Responses of Different Phoneme Groups
HINES, ANDREW; HARTE, NAOMI (2009)An auditory nerve model allows faster investigation of new signal processing algorithms for hearing aids. This paper presents a study of the degradation of auditory nerve (AN) responses at a phonetic level for a range ... -
Evaluating Sensorineural Hearing Loss With An Auditory Nerve Model Using A Mean Structural Similarity Measure.
HARTE, NAOMI; HINES, ANDREW (2010)Hearing loss research has traditionally been based on perceptual criteria, speech intelligibility and threshold levels. The development of computational models of the auditory-periphery has allowed experimentation via ... -
Measurement of phonemic degradation in sensorineural hearing loss using a computational model of the auditory periphery
HINES, ANDREW; HARTE, NAOMI (2009)A computational model of the auditory periphery enables faster investigation of new signal processing algorithms for hearing aids. This paper presents a study of the degradation of auditory nerve (AN) responses at a ... -
Robustness and prediction accuracy of machine learning for objective visual quality assessment
HINES, ANDREW (2014)Machine Learning (ML) is a powerful tool to support the development of objective visual quality assessment metrics, serving as a substitute model for the perceptual mechanisms acting in visual quality appreciation. ... -
Speech Intelligibility prediction using a Neurogram Similarity Index Measure
HINES, ANDREW; HARTE, NAOMI (Elsevier, 2012)Discharge patterns produced by fibres from normal and impaired auditory nerves in response to speech and other complex sounds can be discriminated subjectively through visual inspection. Similarly, responses from auditory ... -
ViSQOL: an objective speech quality model
HARTE, NAOMI; KOKARAM, ANIL; HINES, ANDREW; KOKARAM, ANIL CHRISTOPHER; HARTE, NAOMI; HINES, ANDREW (2015)This paper presents an objective speech quality model, ViSQOL, the Virtual Speech Quality Objective Listener. It is a signal-based, full-reference, intrusive metric that models human speech quality perception using a ... -
ViSQOL: The Virtual Speech Quality Objective Listener
HARTE, NAOMI; KOKARAM, ANIL CHRISTOPHER; HINES, ANDREW (2012)A model of human speech quality perception has been developed to provide an objective measure for predicting subjective quality assessments. The Virtual Speech Quality Objective Listener (ViSQOL) model is a signal based ...