Audiology and Speech Pathology - Research Publications

Permanent URI for this collection

http://hdl.handle.net/11343/254

Filters

2014 2
1
2
Reset filters

Settings
Statistics
Citations
Author: Maruff, Paul × Author: Vogel, Adam × End date: 2014 × Start date: 2014 ×

Search Results

Now showing 1 - 2 of 2
  • Item
    No Preview Available
    The impact of task automaticity on speech in noise
    Vogel, AV ; Fletcher, J ; Maruff, PT (Elsevier Science, 2014)
    In the control of skeleto-motor movement, it is well established that the less complex, or more automatic a motor task is, the less variability and uncertainty there is in its performance. It was hypothesized that a similar relationship exists for integrated cognitive-motor tasks such as speech where the uncertainty with which actions are initiated may increase when the feedback loop is interrupted or dampened. To investigate this, the Lombard effect was exploited to explore the acoustic impact of background noise on speech during tasks increasing in automaticity. Fifteen healthy adults produced five speech tasks bearing different levels of automaticity (e.g., counting, reading, unprepared monologue) during habitual and altered auditory feedback conditions (Lombard effect). Data suggest that speech tasks relatively free of meaning or phonetic complexity are influenced to a lesser degree by a compromised auditory feedback than more complex paradigms (e.g., contemporaneous speech) on measures of timing. These findings inform understanding of the relative contribution speech task selection plays in measures of speech. Data also aid in understanding the relationship between task automaticity and altered speech production in neurological conditions where dual impairments of movement and cognition are observed (e.g., Huntington’s disease, progressive aphasia).
  • Item
    Thumbnail Image
    Monitoring change requires a rethink of assessment practices in voice and speech
    Vogel, AP ; Maruff, P (TAYLOR & FRANCIS LTD, 2014-07)
    Assessment for the purpose of monitoring change over time requires a different practical and statistical approach to that of assessment for diagnosing impairment. Sophisticated methods exist for identifying strengths and weaknesses in a patient's voice/speech profile, yet our understanding of the impact of repeated assessment is limited. Monitoring change necessitates that stimuli are stable in the absence of any true change in functioning, while remaining sensitive to influences that are considered to alter functioning (degeneration, therapy). The current paper discusses the issues relating to stimuli selection, identifying error within the sample and appropriate statistical models for identifying intra-individual change in the context of clinical and experimental speech or voice examinations.