Modulation statistics allow robust prediction of speech recognition accuracy across many words, voices, and natural background sounds

This preprint offers a potentially valuable acoustic framework for predicting speech-in-noise performance, but findings require peer review and clinical validation before influencing hearing aid fitting or speech-in-noise test selection.