MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids. (arXiv:2204.03305v2 [eess.AS] UPDATED)

Improving the user's hearing ability to understand speech in noisy
environments is critical to the development of hearing aid (HA) devices. For
this, it is important to derive a metric that can fairly predict speech
intelligibility for HA users. A straightforward approach is to conduct a
subjective listening test and use the test results as an evaluation metric.
However, conducting large-scale listening tests is time-consuming and
expensive. Therefore, several evaluation metrics were derived as surrogates for
subjective listening test results. …

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