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MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids. (arXiv:2204.03305v1 [eess.AS])
April 8, 2022, 1:11 a.m. | Ryandhimas E. Zezario, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
cs.LG updates on arXiv.org arxiv.org
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. …
More from arxiv.org / cs.LG updates on arXiv.org
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