QM PhD bursaries 2013. For 2013 entry, one studentship has been made available by QM for competitive application as part of investment in this flagship area. Deadline is 30 April 2013 - seehttp://www.qmu.ac.uk/post_research/bursarycomp.htm for full details.
We particularly welcome applications in one of our three priority areas for 2013:
Topic 1 - Clinical Remediation of Speech Disorder using EPG or Ultrasound Tongue Imaging
We have a number of externally-funded projects undertaking clinical research into diagnosis and treatment using one or other of these articulatory techniques, and we welcome applications to take this impactful research forward. A qualification in Speech and Language Therapy would be a requirement for applicants wishing to pursue this topic. The clinical focus of the research is open.
Contact: Dr Sara Wood [log in to unmask] for EPG or Prof James M [log in to unmask] for UTI.
Topic 2 - Measurement of Reaction Time through Articulatory Speech Analysis
Empirical research into the psycholinguistics of speech production tends to rely on acoustic speech data. Despite the fact that articulation underlies and also precedes audible speech, theoretical models generally fail to take into account information about the timing and nature of the initiation of the articulatory processes that are an essential part of speech production. This project would gather novel data on the silent (and noise-producing) articulatory processes that precede speech sounds, using reaction time methodologies and through measurements of the tongue, jaw, lips and face. A background in psychology and/or phonetics would be an advantage for this topic.
. Contact: Dr Sonja Schaeffler [log in to unmask]
Topic 3 - Speech intelligibility and speech variability in Parkinson’s Disease
Parkinson’s speech is typically characterized by monotony, harsh breathy voice, imprecise articulation and impaired prosody, leading to reduced speech intelligibility. Intelligibility is a key contributor to functional communication, and a necessary component of assessment in speech disorder. This project aims to evaluate two different approaches, listener perception and computer-based automatic speech recognition (ASR), to intelligibility measurement, and to identify acoustic indicators of intelligibility. Findings will inform future development of a semi-automatic system for intelligibility measurement, suitable for large-scale research and clinical assessment. A clinical qualification in Speech and Language Therapy would be an advantage.
Contact: Dr Joan Ma [log in to unmask]
Our postgrad page - http://www.qmu.ac.uk/shs/pg/default.htm
The CASL home page - http://www.qmu.ac.uk/casl/
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