Objective speech intelligibility prediction: Insights from human speech perception
Fei Chen

A Non-Intrusive Speech Intelligibility Prediction Using Binaural Cues and Time-Series Model with One-Hot Listener Embedding
Candy Olivia Mawalim, Xiajie Zhou, Shogo Okada, Masashi Unoki

Deep Learning-based Speech Intelligibility Prediction Model by Incorporating Whisper for Hearing Aids
Ryandhimas E Zezario, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao

Prediction of Behavioral Speech Intelligibility using a Computational Model of the Auditory System
Nursadul Mamun, Sabbir Ahmed, John H.L. Hansen

Combining Acoustic, Phonetic, Linguistic and Audiometric data in an Intrusive Intelligibility Metric for Hearing-Impaired Listeners
Mark Huckvale, Gaston Hilkhuysen

A Non-intrusive Binaural Speech Intelligibility Prediction for Clarity-2023
Katsuhiko Yamamoto

Pre-Trained Intermediate ASR Features and Human Memory Simulation for Non-Intrusive Speech Intelligibility Prediction in the Clarity Prediction Challenge 2
Rhiannon Mogridge, George Close, Robert Sutherland, Stefan Goetze, Anton Ragni

Temporal-hierarchical features from noise-robust speech foundation models for non-intrusive intelligibility prediction
Santiago Cuervo, Ricard Marxer

Neural Spectrospatial Filtering
DeLiang Wang