Electromagnetic articulography (EMA) is one of the instrumental phonetic research methods used for recording and assessing articulatory movements. Usually, articulographic data are analysed together with standard audio recordings. This paper, however, demonstrates how coupling the articulograph with devices providing other types of information may be used in more advanced speech research. A novel measurement system is presented that consists of the AG 500 electromagnetic articulograph, a 16-channel microphone array with a dedicated audio recorder and a video module consisting of 3 high-speed cameras. It is argued that synchronization of all these devices allows for comparative analyses of results obtained with the three components. To complement the description of the system, the article presents innovative data analysis techniques developed by the authors as well as preliminary results of the system’s accuracy.
The primary objective of this article is to study whether an assessment instrument specifically designed to assess speech motor control on word level productions would be able to add differential diagnostic speech characteristics between people who clutter and people who stutter. It was hypothesized that cluttering is a fluency disorder in which speech motor control on word level is disturbed in high speech rate, resulting in errors in flow of speech and sequencing. An assessment instrument on speech motor coordination on word level was developed and validated. In an elicitation procedure, repetitions of complex multi-syllabic words at a fast speech rate were obtained from 47 dysfluent participants (mean age 24.3; SD 10.25, range 14.2–47.4 yrs) and 327 controls (mean age 25.56 yrs; SD 8.49; age range 14.3–50.1). Speech production was judged on articulatory accuracy, smooth-flow (coarticulation, flow and sequencing) and articulatory rate. Results from people who clutter (PWC) and people who stutter (PWS) were compared to normative data based on control group data. PWC produced significantly more flow and sequencing errors compared to PWS. Further research is needed in order to study speech motor control in spontaneous speech of people who clutter.
Logopedisten en klinisch linguïsten onderzoeken de taalontwikkeling van jonge kinderen met een vermoedelijke of al vastgestelde taalontwikkelingsstoornis. Ze onderzoeken ook de taalvaardigheid van personen met afasie. Naast gestandaardiseerde tests worden samples spontane taal geanalyseerd. Hiervoor worden uitingen ontlokt aan de patiënten via vaste protocollen. De sessies worden opgenomen, getranscribeerd en vervolgens grammaticaal geanalyseerd. Bij de grammaticale analyse wordt bepaald welke soorten constructies en fouten voorkomen en in welke mate, en dit wordt vergeleken met een norm. Taal- en spraaktechnologie (TST) kan er in prin-cipe aan bijdragen om het proces van transcriptie en grammaticale analyse efficiënter te maken en mogelijk zelfs om de kwaliteit van de assessments te verhogen. In dit artikel richten we ons op de mogelijkheden van TST voor de analyse van kindertaal.
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