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Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain.

, , and . ICASSP, page 995-999. IEEE, (2019)

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Segregating event streams and noise with a Markov renewal process model., and . J. Mach. Learn. Res., 14 (1): 2213-2238 (2013)Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge., , , , , , , , and . DCASE, page 145-149. (2021)Perceptual Musical Similarity Metric Learning with Graph Neural Networks., , , , , , and . WASPAA, page 1-5. IEEE, (2023)Audio-only Bird Classification Using Unsupervised Feature Learning., and . CLEF (Working Notes), volume 1180 of CEUR Workshop Proceedings, page 673-684. CEUR-WS.org, (2014)Detailed temporal structure of communication networks in groups of songbirds., , and . CoRR, (2016)Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks., , and . CoRR, (2020)Bird detection in audio: A survey and a challenge., , , and . MLSP, page 1-6. IEEE, (2016)Unifying Probabilistic Models for Time-Frequency Analysis., , , , and . CoRR, (2018)Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering., , , and . ICASSP, page 468-472. IEEE, (2013)Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge., , , , , , , , , and 5 other author(s). DCASE, Tampere University, (2022)