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In Section 2.2 we explained how audiovisual mismatches could lead to coarticulation issues that decrease the intelligibility of the synthetic speech.
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Since the strong connection between residual intelligibility and speech envelope, our goal aims to come up with a new algorithm which is able to utilize the sparsity of speech signal as well as to decrease the residual intelligibility of the compressed data.
The objective of speech enhancement (SE, also called noise reduction) algorithms is to improve one or more perceptual aspects of the noisy speech by decreasing the background noise without affecting the intelligibility of the speech [1].
In addition, decreasing the noise levels by 20 dB due to improving the window insulation noticeably improved the speech intelligibility at all receivers.
The adaptive gain functions provide less gain as SNRs decrease so that the intelligibility can be higher with the adaptivity.
Objective and subjective measures of operational performance suggested that performance systematically degraded with decreasing speech intelligibility, with the largest drop occurring between 80% and 60%.
This study investigated whether the deleterious effects of background speech can be affected by room acoustic design that decreases speech intelligibility, as measured by the Speech Transmission Index (STI).
The decrease in intelligibility is due to a 30% of increase in confusability in the formants map, a reduction of 50% in the discriminative power in energy between stressed and unstressed vowels and to a 50% increase of the standard deviation in the length of the vowels.
The decrease in intelligibility is due to a 30% of increase in confusability in the formants map, a reduction of 50% in the discriminative power in energy between stressed and unstressed vowels, and a 50% increase of the standard deviation in the length of the vowels.
These findings indicate that the decrease in speech intelligibility in the OPA1-M group cannot solely be attributed to the increase of hearing threshold, as is the case for hearing-impaired subjects with cochlear hearing loss.
Compared with the ERVU method, the PDMSE method can further improve speech quality without decreasing intelligibility.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com