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Robust and Efficient Joint Alignment of Multiple Musical Performances.

, , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (11): 2132-2145 (2016)

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Towards a Perceptual Loss: Using a Neural Network Codec Approximation as a Loss for Generative Audio Models., , and . ACM Multimedia, page 1518-1525. ACM, (2019)Using a Neural Network Codec Approximation Loss to Improve Source Separation Performance in Limited Capacity Networks., , and . IJCNN, page 1-7. IEEE, (2020)Notentext-Informierte Quellentrennung für Musiksignale., , and . GI-Jahrestagung, volume P-220 of LNI, page 2928-2942. GI, (2013)Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures., , , and . EUSIPCO, page 1-5. IEEE, (2019)Automatic Music Transcription: An Overview., , , and . IEEE Signal Process. Mag., 36 (1): 20-30 (2019)End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-character Recognition Model., , and . ICASSP, page 181-185. IEEE, (2019)Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators., , and . CoRR, (2019)Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling., , , and . CoRR, (2019)Improving Lyrics Alignment Through Joint Pitch Detection., , and . ICASSP, page 451-455. IEEE, (2022)Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages., , and . ICASSP, page 1-5. IEEE, (2023)