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A New Variable Step-Size LMS Algorithm with Robustness to Nonstationary Noise., , , , and . ICASSP (3), page 1349-1352. IEEE, (2007)Musical Moods: A Mass Participation Experiment for Affective Classification of Music., , , and . ISMIR, page 741-746. University of Miami, (2011)A source separation evaluation method in object-based spatial audio., , , and . EUSIPCO, page 1088-1092. IEEE, (2015)The first Cadenza challenges: using machine learning competitions to improve music for listeners with a hearing loss., , , , , , , , , and 1 other author(s). CoRR, (2024)Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms., , , and . Speech Commun., (2016)Wind-induced microphone noise detection - automatically monitoring the audio quality of field recordings., , , , and . ICME, page 1-6. IEEE Computer Society, (2013)Blind estimation of reverberation time in occupied rooms., , , , and . EUSIPCO, page 1-5. IEEE, (2006)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)