LabCompass

Elsayed Issa

Computer Science · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2018
Natural Language Processing TechniquesTopic ModelingSpeech Recognition and SynthesisPhonetics and Phonology ResearchNeurobiology of Language and Bilingualism

Publications

10

Citations

14

Est. group size

—

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Elsayed Issa works on computational analysis of speech and language, with a particular focus on Arabic. Their work spans speech technology (accent and dialect identification, fake audio detection, automatic speech recognition bias), language learning tools (pronunciation training, bilingual word recognition), and computational linguistics (dialect and intonation modeling, large language model behavior on grammatical structures). This research combines methods from natural language processing, speech science, and applied linguistics.

Arabic speech and dialect processingSpeech recognition and audio authenticity detectionComputer-assisted language learningComputational linguistics and language modelsBilingual and second-language word recognition

Publication output has been steady but modest over the last decade, averaging about one to two papers per year, with a slight increase in the most recent years (2025-2026).

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.4/year recently
172018: 1 publication18192020: 1 publication202021: 1 publication212022: 1 publication222023: 1 publication232024: 1 publication242025: 2 publications2252026: 2 publications226
Recent publications
Publishes in
  • Procedia Computer Science×2
  • Frontiers in Psychology×1
  • Advances in web technologies and engineering book series×1
  • Language learning & technology×1
  • Speech Prosody 2022×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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