Micha Elsner

Micha Elsner works in computational linguistics and natural language processing, studying how computers can process and model human language including speech, phonology (sound patterns), and word structure. Recent work examines large language models (LLMs), including their use for low-resource language translation, speech synthesis, emotion recognition from audio, and questions about AI reliability and governance. The research combines linguistic theory with modern machine learning methods.

Publication output has fluctuated over the last decade but shows a marked increase in the most recent years (2024 and 2026), suggesting growing recent activity rather than a steady or declining pace.

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