Abstract
The variety of commercial and open-source software available to carry out behavioural experiments is considerably large. A few programs (e.g. E-Prime, DMDX or MATLAB) that present stimuli and measure behavioural data are used by researchers to test and/or train the perception of both native (L1) and non-native (L2) speech. However, many have restricted access because they are either developed for specific projects or for commercial purposes (and are, thus, property software). Moreover, the vast majority requires knowledge of scripting languages, such as the open-source software Praat (Boersma and Weenik, 2013), Alvin (Hillenbrand, 2013), Percy (Draxler, 2011) or WebExp2 (Keller, Gunasekharan, Mayo and Corley, 2009), which may not be considered accessible to speech professionals with little expertise in programming languages (e.g. Python, Lua, XML, Java, C+, among others). In addition, the available programs that run speech perception tasks with audiovisual or visual stimuli and immediate feedback are still scarce. Taking these factors and limitations into consideration, we developed TP (Rauber, Rato, Kluge and Santos, 2012), which stands for Teste/Treino de Perceção (Perception Testing/Training). This open-source software application was developed for speech perception tasks that aim at testing and/or training the perception of speech (segments and/or suprasegmentals) in three conditions: visual, auditory and audiovisual.
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© 2015 Anabela Rato, Andréia Schurt Rauber, Denise Cristina Kluge and Giane Rodrigues dos Santos
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Rato, A., Rauber, A.S., Kluge, D.C., dos Santos, G.R. (2015). Designing Speech Perception Tasks with TP. In: Mompean, J.A., Fouz-González, J. (eds) Investigating English Pronunciation. Palgrave Macmillan, London. https://doi.org/10.1057/9781137509437_13
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DOI: https://doi.org/10.1057/9781137509437_13
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