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I’m a research assistant and Ph.D. student in Applied Linguistics and Technology (ALT) at Iowa State University. My research interest is in pronunciation, phonetics, and phonology. Specifically, the automation of intelligibility ratings by way of the Acoustic Masking and Intelligibility (AMI) theory. I also conduct research on Mispronunciation Detection and Diagnosis (MDD) systems.
January 2022 - present
- Research Assistant
- Research Assistant to Dr. John M. Levis. Project: Adaptive explicit and implicit feedback in second language pronunciation training. Research funded by the National Science Foundation (2020).
August 2020 - present
- Instructor for ENGL 101B: English for Native Speakers of Other Languages: Academic English. Instructor for SP CM 212: Fundamentals of Public Speaking.
August 2020 - present
- Global Online Course Mentor
- Mentor for the Online Professional English Network (OPEN), previously knows as American English (AE) E-Teacher Program, sponsored by the U.S. Department of State and administered by FHI 360
June 2013 - July 2013
University of Cambridge ESOL Examinations
Field of study
- Teaching English to Speakers of Other Languages
This study presents an instrumental phonetic account of the intelligibility of Saudi Spoken English (SSE) consonants. Few studies have investigated the spoken consonants of highly proficient EFL teachers in Saudi Arabia. This research informs on how intelligible SSE consonants are perceived by General American English (GAE) listeners using the Koff...
Koffi (2019) investigated the acoustic correlates that Arabic L2 speakers of English use to encode lexical stress. This study replicates the same methodology and uses the same acoustic correlates and the same Just Noticeable Difference (JND) thresholds. Whereas Koffi (2019) focused on a general population of Arabic speakers of English, the current...
Intelligibility of second language (L2) speakers is typically measured using dictation, transcription and/or listening comprehension exercises performed by native (L1) speakers (Kang, et al., 2017). However, Koffi’s (2019) Acoustic Masking and Intelligibility (AMI) theory implies that intelligibility of vowels can be measured instrumentally by exam...
This article describes the acoustic characteristics of female Saudi-accented English vowels and uses acoustic phonetic measurements to assess the intelligibility of their vowels. Peterson & Barney’s (1952) and Hillenbrand et al.’s (1995) methodology is slightly modified. Whereas their studies extracted various measurements, including F1 and F2 of v...
This thesis serves two purposes. The first is to describe Saudi-accented English vowels acoustically. The second is to rely on the measurements obtained from the acoustic phonetic analyses to assess the intelligibility of their vowels. The methodology pioneered by Peterson and Barney (1952) and replicated by Hillenbrand, Getty, Clark & Wheeler (199...
English is the main foreign language in schools in the Kingdom of Saudi Arabia. Even though the Kingdom has made considerable budgetary sacrifices to raise English proficiency in the country, the results do not yet match expectations. According to English First (EF), in 2019, Saudi Arabia ranked “very low” on the English Proficiency Index (EPI). We...
This pilot study examined the strategies that speakers of American English employ in producing Arabic [ʔ]. We have measured, compared, and contrasted the VOT produced by English speakers to those of Arabic speakers. Background information A B [saʔala] [suʔaːl] [aʔkal] [qaɾaʔa] [ɾaʔs].
My ongoing project is to document the segmental and suprasegmental features of Saudi Spoken English. Currently, no research has focused on exclusively documenting the phonetic features of English spoken by Saudis. Doing so can shed light on pedagogical implications for teaching Saudi students, provide valuable data for Computer Assisted Pronunciation Training (CAPT) and Mispronunciation Detection and Diagnosis (MDD) systems. As I develop my research around this topic, it will be made available here: saudispokenenglish[dot]com