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eess.AS2026
Active noise cancellation extends the benefit of AI speech enhancement in real hearing-aid recordings
Andrew T. Sabin, Linkai Li
Active noise cancellation (ANC) is common in headphones but rare in hearing aids, and its value for understanding speech in noise is not established. Algorithms that improve signal…
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…