Hassan Taherian

Hassan Taherian works on speech and audio signal processing, focusing on methods to improve speech quality and intelligibility in recordings, including personalized speech enhancement (removing background noise or isolating a target speaker) and distant speech recognition using multi-microphone arrays. His recent work explores how machine learning models, including knowledge distillation (transferring learned skills between models) and array-geometry-agnostic designs (methods that work regardless of microphone arrangement), can improve these systems.

Publication output was minimal before 2019 but increased notably from 2021 onward, suggesting a growing and relatively steady pace of research activity in recent years.

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