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- 11Benjamin V. Tucker
- 5Filip Nenadić
- 5Matthew C. Kelley
- 2Catherine Ford
- 1Daniel Brenner
- 1Graham Tomkins Feeny
- 3auditory lexical decision
- 2audio segmentation
- 2forced alignment
- 2lexical processing
- 10Linguistics, Department of
- 4Linguistics, Department of/Mental Lexicon 2018
- 3Linguistics, Department of/Presentations (Linguistics)
- 1Linguistics, Department of/Research Publications (Linguistics)
- 1Linguistics, Department of/Honours Theses (Linguistics)
- 1Linguistics, Department of/Massive Auditory Lexical Decision (MALD) Database
The present paper investigates the effect of different inputs on the accuracy of a forced alignment tool built using deep neural networks. Both raw audio samples and Mel-frequency cepstral coefficients were compared as network inputs. A set of experiments were performed using the TIMIT speech...
Poster for the paper "A comparison of input types to a deep neural network-based forced aligner," presented at Interspeech 2018. PAPER ABSTRACT: The present paper investigates the effect of different inputs on the accuracy of a forced alignment tool built using deep neural networks. Both raw...
The TRACE model of spoken word recognition has been widely discussed and used, but was never implemented to simulate the auditory lexical decision task, particularly on a larger number of items. In this study, we attempt to model accuracy and latency estimates and compare the obtained values to...
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...
The present experiment investigated the role of vocal affect in spoken word recognition. Participants performed an auditory lexical decision task with stimuli articulated by a professional male actor with different acoustic realizations of vocal affect (Angry, Neutral, and Joyful). In addition,...
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...
Although most auditory lexical decision experiments are performed in a laboratory setting, humans tend to communicate in uncontrolled and noisy environments. We investigated, indirectly, the impact of noise and other distractions on lexical processing. The present study used a subset of words...
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,...
bBoiA sizable number of phonetic and psycholinguistic experiments have been conducted to investigate the recognition of real words. From this work, researchers have found that various characteristics of lexical items affect the recognition process, such as lexical frequency, phonotactic...
Contextually predictable, high frequency, competitor-dense words are often produced with less phonetically contrastive categories in spontaneous speech, often manifested with shorter durations. The present study investigates the role of temporal variation in the recognition of isolated words...