The Auditory English Lexicon Project: A multi-talker, multi-region psycholinguistic database of 10,170 spoken words and
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The Auditory English Lexicon Project: A multi-talker, multi-region psycholinguistic database of 10,170 spoken words and nonwords Winston D. Goh 1 & Melvin J. Yap 1 & Qian Wen Chee 1
# The Psychonomic Society, Inc. 2020
Abstract The Auditory English Lexicon Project (AELP) is a multi-talker, multi-region psycholinguistic database of 10,170 spoken words and 10,170 spoken nonwords. Six tokens of each stimulus were recorded as 44.1-kHz, 16-bit, mono WAV files by native speakers of American, British, and Singapore English, with one from each gender. Intelligibility norms, as determined by average identification scores and confidence ratings from between 15 and 20 responses per token, were obtained from 561 participants. Auditory lexical decision accuracies and latencies, with between 25 and 36 responses per token, were obtained from 438 participants. The database also includes a variety of lexico-semantic variables and structural indices for the words and nonwords, as well as participants’ individual difference measures such as age, gender, language background, and proficiency. Taken together, there are a total of 122,040 sound files and over 4 million behavioral data points in the AELP. We describe some of the characteristics of this database. This resource is freely available from a website (https://inetapps.nus.edu.sg/aelp/) hosted by the Department of Psychology at the National University of Singapore. Keywords Speech database . Megastudy . Spoken word recognition . Auditory lexical decision . Psycholinguistics The ease with which people are able to recognize printed and spoken words is one of the most impressive and important things humans do. Consequently, the processes underlying This research was supported by Singapore Ministry of Education Academic Research Fund Tier-2 Grant MOE2016-T2-2-079, and the National University of Singapore Humanities and Social Sciences Seed Fund R-581-000-164-646, awarded to W.D.G. and M.J.Y. We thank Keng Ji Chow for programming assistance, Sean Yap for web development, Jia Jun Ang, Mae Ang, Claire Chan, Magdalene Choo, Keng Ji Chow, Joyce Gan, Sydney Goh, Mabel Lau, Marcia Lee, Marcus Leong, Marissa Ng, Melvin Ng, Alvin Ong, Nigel Ong, Muhammad Nabil Syukri bin Sachiman, Si Ying Fong, Sze Ming Song, Jonathan Tan, Luuan-Chin Tan, Rong Ying Tan, Wei Yun Tan, Yin Lin Tan, Gareth Ting, Devni Wijayaratne, Chin Yi Wong, Taffy Yap, and Maisarah bte Zulkifli for audio recording, sound file processing, data acquisition, and processing. We also thank Marc Brysbaert, Howard Nusbaum, David Pisoni, and Chris Westbury for permission to include their metrics on the website, and three anonymous reviewers for helpful comments. Electronic supplementary material The online version of this article (https://doi.org/10.3758/s13428-020-01352-0) contains supplementary material, which is available to authorized users. * Winston D. Goh [email protected] 1
Department of Psychology, National University of Singapore, Singapore 117570, Singapore
isolated word recognition and processing have been extensively
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