Dani Byrd
· Professor of LinguisticsUniversity of Southern California · Linguistics
Active 1990–2026
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About
Dani Byrd is a Professor in the Department of Linguistics at the University of Southern California, within the Dornsife College of Letters, Arts and Sciences. Her research focuses on phonetics and phonology, and she is actively involved in research groups such as the USC Phonetics & Phonology Group and the USC SPAN Research Group. She contributes to the academic community through her work on speech, words, and the mind, and she has authored an introductory textbook titled 'Discovering Speech, Words, and Mind.' Professor Byrd is engaged in teaching courses related to phonetics and phonology and provides resources and support for students and colleagues in her field.
Research topics
- Artificial Intelligence
- Computer Science
- Speech recognition
- Physics
- Linguistics
- Computer vision
- Mathematics
Selected publications
Cracking Prosody in Articulatory Phonology
Annual Review of Linguistics · 2021 · 29 citations
1st authorCorrespondingArticulatory Phonology advances an account of phonological structure in which dynamically defined vocal tract tasks—gestures—are simultaneously and isomorphically units of cognitive representation and units of physical action. This paradigm has fundamentally altered our understanding of the linguistic representation of words. This article reviews the relatively recent incorporation of prosody into Articulatory Phonology. A capsule review of the Articulatory Phonology theoretical framework is pre…
Improved 3D real‐time MRI of speech production
Magnetic Resonance in Medicine · 2021 · 22 citations
PURPOSE: To provide 3D real-time MRI of speech production with improved spatio-temporal sharpness using randomized, variable-density, stack-of-spiral sampling combined with a 3D spatio-temporally constrained reconstruction. METHODS: temporal order. The strategy yielding highest image quality was chosen as the proposed method. We evaluated the proposed and original 3D real-time MRI methods in 2 healthy subjects performing speech production tasks that invoke rapid movements of articulators seen in…
Deep learning characterizes depression and suicidal ideation in young adults from eye movements
npj Digital Medicine · 2026-03-28 · 1 citations
articleOpen accessObjective biobehavioral markers for mental health conditions remain elusive, with diagnosis typically relying on self-reports and clinical interviews. We investigate eye tracking as a potential marker of attentional and mood biases associated with symptoms of depression and suicidal ideation from self-reported screening questionnaires. We analyze eye movements from 126 young adults during reading and responding to emotionally loaded sentences. A deep learning framework was designed to account fo…
On the Relationship between Accent Strength and Articulatory Features
2025-08-17 · 1 citations
article2025-08-17 · 1 citations
article
Recent grants
Speech Prosody and Articulatory Dynamics in Spoken Language
NIH · $5.9M · 1997–2019
Doctoral Dissertation Research: Articulatory Dynamics and Stability of Multi-gesture Complexes
NSF · $19k · 2021–2023
NIH · $553k · 2002
Frequent coauthors
- 77 shared
Louis Goldstein
- 60 shared
Shrikanth Narayanan
- 41 shared
Sungbok Lee
Korea Advanced Institute of Science and Technology
- 21 shared
Krishna S. Nayak
- 21 shared
Asterios Toutios
University of Southern California
- 19 shared
Elliot Saltzman
Boston University
- 17 shared
Erik Bresch
Philips (Netherlands)
- 15 shared
Benjamin Parrell
University of Wisconsin–Madison
Education
Ph.D., Linguistics
University of Southern California
M.A., Linguistics
University of Southern California
B.A., Linguistics
University of Southern California
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