Elamur Research⌕
☰
home / authors / Nicole Holliday

Nicole Holliday

Nicole Holliday has 3 papers in our library, in 2022–2024, most of them on Speech & spoken language, English; often with David R. Mortensen, Jiatong Shi, Kalvin Chang.

3 papers in our library · 2022–2024

OpenAlex · ORCID · Wikidata · h-index 13 · 58 works · 408 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 8 times in our library · ⭐ Paper Stars ranking: #9595

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of California, BerkeleyBerkeley · United States2024–2026 · 9 paperscurrent🎓Pomona CollegeClaremont · United States2016–2024 · 19 papersEmployment 2016–2017Employment 2017–2024🎓University of PennsylvaniaPhiladelphia · United States2018–2021 · 6 papersEmployment🎓New York UniversityNew York · United States2014–2015 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksPsychology · 3 worksComputer Science · 2 worksExperimental and Cognitive Psychology · 3 worksLanguage and Linguistics · 3 worksArtificial Intelligence · 2 worksSignal Processing · 2 works

🧭 Topics 2Research subjects and languages the work is about.Speech & spoken language · 3 worksEnglish · 2 works

 Works by year

2020s

20242 papers20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Self-supervised Speech Representations Still Struggle with African American Vernacular English (2024 · 10 citations)
    The paper asks whether self-supervised speech models, which have helped low-resource languages, can narrow the long-known ASR accuracy gap between African American Vernacular English (AAVE) and Mainstream American English (MAE).
  2. Language-specific Effects on Automatic Speech Recognition Errors for World Englishes (2022 · 3 citations)
    The paper asks why commercial speech recognition serves some English speakers worse than others. Earlier work mostly reported a single Word Error Rate (WER), and that number cannot show which sounds fail or why. The authors tested Otter, a captioning engine used inside Zoom, on 1,227 readings of the same passage from…
  3. Can listeners differentiate varieties using prosodic information? Lect identification in a persona-matching task (2024)
    The study asks whether listeners can tell regional and ethnic varieties of US English apart from prosody alone, or whether they depend mainly on segmental cues such as vowels.

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 8 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/nicole-holliday/