Browsing School of Engineering by Author "HARTE, NAOMI"
Now showing items 1-16 of 16
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Dynamic Features for Segmental Speech Recognition
HARTE, NAOMI (IEEE, 1996)Speech models and features that emphasise the dynamic aspects of speech can provide improved speech recognition. The cepstral time matrix has been established as a successful method of encoding dynamics. The paper extends ... -
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 ... -
Exploiting Voicing Cues for Contrast Enhanced Frequency Shaping of Speech for Impaired Listeners
HARTE, NAOMI (IEEE, 2006)This paper investigates the use of voicing information as an additional cue in contrast enhanced frequency shaping (CEFS) of speech to improve perception in the hearing impaired. The presented work builds on an existing ... -
A HMM Framework for Motion based parsing for video from Observational Psychology
DOYLE, ERIKA; FULLER, RAYMOND G; HARTE, NAOMI; KOKARAM, ANIL CHRISTOPHER (IEEE, 2006)In Psychology it is common to conduct studies involving the observation of humans undertaking some task. The sessions are typically recorded on video and used for subjective visual analysis. The subjective analysis is ... -
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 ... -
Multi-Resolution Cepstral Features for Phoneme Recognition Across Speech Sub-Bands
HARTE, NAOMI (IEEE, 1998)Multi-resolution sub-band cepstral features strive to exploit discriminative cues in localised regions of the spectral domain by supplementing the full bandwith cepstral features with subband cepstral features derived ... -
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 ...