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- 24Benjamin V. Tucker
- 14Matthew C. Kelley
- 8Filip Nenadić
- 2Catherine Ford
- 2Louis ten Bosch
- 2Scott James Perry
- 7spoken word recognition
- 4acoustic distance
- 4auditory lexical decision
- 4speech perception
- 23Linguistics, Department of
- 8Linguistics, Department of/Presentations (Linguistics)
- 4Linguistics, Department of/Research Publications (Linguistics)
- 4Linguistics, Department of/Massive Auditory Lexical Decision (MALD) Database
- 4Linguistics, Department of/Mental Lexicon 2018
- 2Linguistics, 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...
Forced alignment is increasingly used in phonetics to automatically produce boundaries between words and phones. These boundaries can have significant errors and are often only placed at some predetermined time interval, like every 10 ms. We discuss some potential remedies to these difficulties...
Acoustic absement files
These files contain acoustic absement and acoustic distinctiveness calculations for the words in the Massive Auditory Lexical Decision database. These files accompany the "Using acoustic distance and acoustic absement to quantify lexical competition" article in the Journal of The Acoustical...
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.