Sarah Ita Levitan
Scholar

Sarah Ita Levitan

Google Scholar ID: -U_XtWsAAAAJ
Hunter College, City University of New York
Spoken Language ProcessingNatural Language Processing
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Citations & Impact
All-time
Citations
883
 
H-index
19
 
i10-index
23
 
Publications
20
 
Co-authors
0
 
Publications
3 items
Story2MIDI: Emotionally Aligned Music Generation from Text
2025
Cited
0
Analysis of Propaganda in Tweets From Politically Biased Sources
2025
Cited
0
Personalized Author Obfuscation with Large Language Models
2025
Cited
0
Resume
Background
  • Assistant Professor in the Department of Computer Science at Hunter College
  • Member of the doctoral faculty at the CUNY Graduate Center for both Computer Science and Linguistics PhD Programs
  • Research interests focus on spoken language processing, aiming to enable computers to understand human speech
  • Particularly interested in paralinguistics—the non-verbal aspects of speech
  • Uses computational approaches to extract and analyze acoustic-prosodic and lexical features to infer speaker characteristics or speech properties
  • Recent projects include detecting deceptive and trustworthy language, identifying misinformation and hate speech on social media, and understanding/predicting online radicalization