Abstract
Purpose As factors influencing human word perception are important in the construction of speech perception tests used within the speech and hearing sciences, the purposes of this study were as follows: first, to develop algorithms that can be used to calculate different types of word metrics that influence the speed and accuracy of word perception and, second, to create a database in which those word metrics were calculated for a large set of Swedish words. Method Based on a revision of a large Swedish phonetic dictionary, data and algorithms were developed by which various frequency metrics, word length metrics, semantic metrics, neighborhood metrics, phonotactic metrics, and orthographic transparency metrics were calculated for each word in the dictionary. Of the various word metric algorithms used, some were Swedish language reimplementations of previously published algorithms, and some were developed in this study. Results The results of this study have been gathered in a Swedish word metric database called the AFC-list. The AFC-list consists of 816,404 phonetically transcribed Swedish words, all supplied with the word metric data calculated. The full AFC-list has been made publicly available under the Creative Commons Attribution 4.0 International license. Conclusion The results of this study constitute an extensive linguistic resource for the process of selecting test items in new well-controlled speech perception tests in the Swedish language. Supplemental Material https://doi.org/10.23641/asha.8330009.
Highlights
A s many previous studies have shown, the speed and accuracy of human speech perception are affected by many different linguistic factors, here referred to as word metrics
The collection of orthographic forms, phonetic transcriptions, and word metric data that we developed in this study is referred to as the AFClist, named after the Audiological Research (Swedish: Forskning) Centre in Örebro, where it was developed
In order to increase the linguistic validity of phonotactic probability (PP) metrics, we argue that PPs should be determined separately for all these contexts
Summary
A s many previous studies have shown, the speed and accuracy of human speech perception are affected by many different linguistic factors, here referred to as word metrics. In the fields of audiology and speech and language therapy, many different tests exist that aim at measuring various aspects of speech perception In creating such tests, authors have often attempted to control for the confounding effects of various word metrics (cf Egan, 1948; Feeney & Franks, 1982; Gelfand, 1998; House, Williams, Heker, & Kryter, 1965; Kuk et al, 2010; Liden & Fant, 1954; Luce & Pisoni, 1998). Authors have often attempted to control for the confounding effects of various word metrics (cf Egan, 1948; Feeney & Franks, 1982; Gelfand, 1998; House, Williams, Heker, & Kryter, 1965; Kuk et al, 2010; Liden & Fant, 1954; Luce & Pisoni, 1998) Before such control can be exhibited, it is important to know what word metrics would exhibit any nontrivial influence upon speech perception and how they may be calculated. The nature of the ND effects on word perception is not necessarily consistent between languages, as different languages
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of speech, language, and hearing research : JSLHR
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
