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eess.AS2025
Reference-aware SFM layers for intrusive intelligibility prediction
Hanlin Yu, Haoshuai Zhou, Boxuan Cao +3
Intrusive speech-intelligibility predictors that exploit explicit reference signals are now widespread, yet they have not consistently surpassed non-intrusive systems. We argue tha…
eess.AS2025
No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction
Haoshuai Zhou, Changgeng Mo, Boxuan Cao +2
Personalized speech intelligibility prediction is challenging. Previous approaches have mainly relied on audiograms, which are inherently limited in accuracy as they only capture a…