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- 18Benjamin V. Tucker
- 9Matthew C. Kelley
- 8Filip Nenadić
- 2Catherine Ford
- 2Louis ten Bosch
- 1Alicia Beckford Wassink
- 5spoken word recognition
- 4auditory lexical decision
- 3auditory lexical decision task
- 3computational model
- 18Linguistics, Department of
- 5Linguistics, Department of/Presentations (Linguistics)
- 4Linguistics, Department of/Massive Auditory Lexical Decision (MALD) Database
- 4Linguistics, Department of/Mental Lexicon 2018
- 3Linguistics, Department of/Research Publications (Linguistics)
- 1Linguistics, Department of/Research Materials (Linguistics)
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,...
Multiple measures of vowel overlap have been proposed that use F1, F2, and duration to calculate the degree of overlap between vowel categories. The present study assesses four of these measures: the spectral overlap assessment metric [SOAM; Wassink (2006). J. Acoust. Soc. Am. 119(4), 2334–2350],...
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. 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...
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...
Discriminative lexicon simulations material
This material includes scripts and results of a series of simulations performed using the discriminative lexicon approach on Massive Auditory Lexical Decision project data.
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...