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Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms., , , and . Speech Commun., (2016)The 2nd Clarity Enhancement Challenge for Hearing Aid Speech Intelligibility Enhancement: Overview and Outcomes., , , , , , , , and . ICASSP, page 1-5. IEEE, (2023)A glimpse-based approach for predicting binaural intelligibility with single and multiple maskers in anechoic conditions., , , and . INTERSPEECH, page 2568-2572. ISCA, (2015)The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction., , , , , , , , , and 2 other author(s). INTERSPEECH, page 3508-3512. ISCA, (2022)Blind estimation of reverberation time in occupied rooms., , , , and . EUSIPCO, page 1-5. IEEE, (2006)Wind-induced microphone noise detection - automatically monitoring the audio quality of field recordings., , , , and . ICME, page 1-6. IEEE Computer Society, (2013)Clarity-2021 Challenges: Machine Learning Challenges for Advancing Hearing Aid Processing., , , , , , , and . Interspeech, page 686-690. ISCA, (2021)The effect of visual stimuli on the horribleness of awful sounds. Applied Acoustics, (2008)Object-Based Audio Rendering., , , , , , , , , and 8 other author(s). CoRR, (2017)A combined blind source separation and adaptive noise cancellation scheme with potential application in blind acoustic parameter extraction., , , , and . Neurocomputing, 71 (10-12): 2127-2139 (2008)