Signal processing methods for predicting the intelligibility of speech, e.g., in the form of an index that correlate highly with the fraction of words that an average listener (amongst a group of listeners with similar hearing profiles) would be able to understand from some speech material are proposed. Specifically, solutions to the problem of predicting the intelligibility of speech signals, which are distorted, e.g., by noise or reverberation, and which might have been passed through some signal processing device, e.g., a hearing aid are described. In summary, the disclosure present solutions to the following problems: \n 1. Monaural, non-intrusive intelligibility prediction of noisy/processed speech signals \n 2. Binaural, non-intrusive intelligibility prediction of noisy/processed speech signals \n 3. Monaural and binaural intelligibility enhancement of noisy speech signals.
A MONAURAL SPEECH INTELLIGIBILITY PREDICTOR UNIT, A HEARING AID AND A BINAURAL HEARING SYSTEM