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- 1Acoustic analysis
- 1Auditory lexical decision
- 1Computational simulation
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In recent years, computational modeling has proved to be an essential tool for investigating cognitive processes underlying speech perception (see, e.g., Scharenborg & Boves, 2010). Here we address the question of how an end-to-end computational model that uses the acoustic signal as input...
Research on silent reading has shown that text genre influences the way texts are read, including differences between prose and poetry (e.g. Zwaan, 1994; Hanauer, 1998). There is little data examining whether text layout (prose vs. poetry) affects the way it is read aloud by non-expert readers,...
A number of speech perception studies have been carried out to investigate how we process audio signals containing real words. However, comparatively fewer studies have been conducted looking at how listeners process audio signals containing phonotactically legal pseudowords. Some traditional...
Measures of vowel overlap explore the acoustic similarity between proposed and existing vowel categories. They typically compare F1 and F2, and sometimes duration. In the present study, we investigate four methods of quantifying vowel overlap: the spectral overlap assessment metric (Wassink,...
Poster for the paper "A comparison of input types to a deep neural network-based forced aligner," presented at Interspeech 2018. Typo in alignment matrix (O[2,2] referenced O[1,2] instead of O[1,1]) updated on June 4, 2019. PAPER ABSTRACT: The present paper investigates the effect of different...