A few known (audio, score) examples from a listener can predict their intelligibility on new audio better than their audiogram, according to tests on the CPC dataset.
End-to-end speech intelligibility prediction using time- domain fully convolutional neural networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.AS 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction
A few known (audio, score) examples from a listener can predict their intelligibility on new audio better than their audiogram, according to tests on the CPC dataset.