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Active Learning for Efficient Audio Annotation and Classification with a Large Amount of Unlabeled Data

, , , and . ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), page 880-884. (May 2019)
DOI: 10.1109/ICASSP.2019.8683063

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Investigating the Effect of Sound-Event Loudness on Crowdsourced Audio Annotations., , , , and . ICASSP, page 341-345. IEEE, (2018)Voice Anonymization in Urban Sound Recordings., , , and . MLSP, page 1-6. IEEE, (2019)Per-Channel Energy Normalization: Why and How., , , , , , and . IEEE Signal Process. Lett., 26 (1): 39-43 (2019)MIXPLORATION: rethinking the audio mixer interface., , and . IUI, page 365-370. ACM, (2014)Active Few-Shot Learning for Sound Event Detection., , and . INTERSPEECH, page 1551-1555. ISCA, (2022)Weakly Supervised Source-Specific Sound Level Estimation in Noisy Soundscapes., , , and . WASPAA, page 61-65. IEEE, (2021)Does a Quieter City Mean Fewer Complaints? The Sounds of New York City During Covid-19 Lockdown., , , , and . ICASSP, page 1-5. IEEE, (2023)Few-Shot Continual Learning for Audio Classification., , , , and . ICASSP, page 321-325. IEEE, (2021)Active Learning for Efficient Audio Annotation and Classification with a Large Amount of Unlabeled Data, , , and . ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), page 880-884. (May 2019)Crowdsourced Pairwise-Comparison for Source Separation Evaluation., , and . ICASSP, page 606-610. IEEE, (2018)