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From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning.

, , , and . CoRR, (2024)

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Exemplar-Based Sparse Representation With Residual Compensation for Voice Conversion., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 22 (10): 1506-1521 (2014)Multi-label vs. combined single-label sound event detection with deep neural networks., , , and . EUSIPCO, page 2551-2555. IEEE, (2015)Stacked Convolutional and Recurrent Neural Networks for Bird Audio Detection., , , and . CoRR, (2017)Stacked Convolutional and Recurrent Neural Networks for Music Emotion Recognition., , , , , and . CoRR, (2017)Bayesian extensions to non-negative matrix factorisation for audio signal modelling., , and . ICASSP, page 1825-1828. IEEE, (2008)Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask., , , , , and . ICASSP, page 721-725. IEEE, (2018)Estimation of Time-Varying Room Impulse Responses of Multiple Sound Sources from Observed Mixture and Isolated Source Signals., and . ICASSP, page 421-425. IEEE, (2018)Sound Event Envelope Estimation in Polyphonic Mixtures., , , , , and . ICASSP, page 935-939. IEEE, (2019)Interpolating hidden Markov model and its application to automatic instrument recognition., and . ICASSP, page 49-52. IEEE, (2009)Polyphonic sound event detection using multi label deep neural networks., , , and . IJCNN, page 1-7. IEEE, (2015)