CASL
Permanent URI for this collectionhttps://eresearch.qmu.ac.uk/handle/20.500.12289/22
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Item Fast formant estimation of children's speech(Conference on Spoken Language Processing, 1994) Wrench, Alan A.; Watson, Jocelynne; Soutar, D. S.; Robertson, A. G.; Laver, JohnItem Articulatory, acoustic and perceptual aspects of fricative/stop coarticulation(1998) Nguyen, Noel; Wrench, Alan A.; Gibbon, Fiona; Hardcastle, William J.Item Acoustic analysis of /l/ in glossectomees(1998) Lunn, J.; Wrench, Alan A.; Beck, Janet M.The production of /l/ is examined for pre- and post-operative patients who have undergone surgery in three distinct areas (anterior, posterior or lateral tongue) followed by radiotherapy and reconstruction. Results show F1 and F2 to be raised after surgery in all cases. Normalised measures of tongue height (F1-F0) and extension (F2-F1) revealed no significant change after surgery to the side of the tongue but in the other two categories, results indicated a change normally associated with both raising and fronting of the tongue. The paper compares these results with findings from other studies and considers possible mechanisms for the observed changes. 1. INTRODUCTION Previous work [1] by the authors has focused on the production of /s/ and /sh/ in pre- and postoperative glossectomee speech. Although, these phonemes can be objectively shown to be affected by surgery, change in dentition also plays a critical role and in a large number of cases speech therapy must wait until new dentu...Item Optopalatograph: Real-time feedback of tongue movement in 3D(1998) Wrench, Alan A.; McIntosh, A. D.; Watson, C.; Hardcastle, William J.Item Dynamical system modelling of articulator movement(1999) King, Simon; Wrench, Alan A.We describe the modelling of articulatory movements using (hidden) dynamical system models trained on Electro-Magnetic Articulograph (EMA) data. These models can be used for automatic speech recognition and to give insights into articulatory behaviour. They belong to a class of continuous-state Markov models, which we believe can offer improved performance over conventional Hidden Markov Models (HMMs) by better accounting for the continuous nature of the underlying speech production process - that is, the movements of the articulators. To assess the performance of our models, a simple speech recognition task was used, on which the models show promising results.Item An investigation of sagittal velar movement and its correlation with lip, tongue, and jaw movement.(1999) Wrench, Alan A.This paper examines the correlation between velar movement and the movement of other articulators in the midsagittal plane. A physiological model is proposed, which, while being based on common knowledge, is more extensive than has been used explicitly to explain observed movements of the velum. The model is used to guide the measurements taken from raw articulatory data provided by Electromagnetic Articulograph (EMA). The midsagittal velar movement is then examined for four different sentences by separate speakers and attempts are made to explain the patterns by reference to the model. The data was taken from a database of between 220 and 460 phonetically balanced sentences per speaker. This type of dataset allow general patterns of behavior to be uncovered. One such observation made and discussed in this paper is velum lowering before oral velar stops.