Automatic speech recognition predicts speech intelligibility and comprehension for listeners with simulated age-related hearing loss
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![Table 1. Experimental conditions of age-related hearing loss simulated for ages between 60 and 110 years and associated absolute thresholds, level of loudness recruitment, and reduction of frequency selectivity.](https://thumb-eu.123doks.com/thumbv2/123doknet/3036831.85529/5.892.64.835.186.567/experimental-conditions-simulated-associated-thresholds-recruitment-frequency-selectivity.webp)
![Table 2 summarizes the different language models used for the automatic recognition.](https://thumb-eu.123doks.com/thumbv2/123doknet/3036831.85529/7.892.459.831.197.570/table-summarizes-different-language-models-used-automatic-recognition.webp)
![Table 4 indicates Pearson’s linear correlation coeffi- coeffi-cients between RAU-transformed human and machine scores for the different language models and speakers](https://thumb-eu.123doks.com/thumbv2/123doknet/3036831.85529/8.892.461.832.211.307/indicates-pearson-correlation-transformed-machine-different-language-speakers.webp)
![Figure 4. Sentence intelligibility for Intelligibility Test 2 (IT2) as a function of the condition of simulated age-related hearing loss (ARHL) for human listeners (filled circles) and the automatic speech recognition (ASR) system, using different language](https://thumb-eu.123doks.com/thumbv2/123doknet/3036831.85529/9.892.140.761.212.402/sentence-intelligibility-intelligibility-condition-simulated-automatic-recognition-different.webp)
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