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---
---
@misc{ wiki:waveform,
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}
@misc{ wiki:stft,
author = "{Wikipedia contributors}",
title = "Short-time Fourier transform --- {Wikipedia}{,} The Free Encyclopedia",
year = "2020",
url = "https://en.wikipedia.org/w/index.php?title=Short-time_Fourier_transform&oldid=972218045",
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@inproceedings{seetharaman2017music,
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@article{shi2019cqt,
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@article{le2019phasebook,
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year={2019}
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title={Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments},
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title={Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures},
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title={Conditioned-u-net: Introducing a control mechanism in the u-net for multiple source separations},
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year={2019}
}
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year={2020}
}
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title={Multi-task U-Net for Music Source Separation},
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journal={arXiv preprint arXiv:2003.10414},
year={2020}
}
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title={Conditioned Source Separation for Music Instrument Performances},
author={Slizovskaia, Olga and Haro, Gloria and G{\'o}mez, Emilia},
journal={arXiv preprint arXiv:2004.03873},
year={2020}
}
@inproceedings{sharma2019importance,
title={On the Importance of Audio-Source Separation for Singer Identification in Polyphonic Music.},
author={Sharma, Bidisha and Das, Rohan Kumar and Li, Haizhou},
booktitle={INTERSPEECH},
pages={2020--2024},
year={2019}
}
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title={Multitask learning for instrument activation aware music source separation},
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journal={arXiv preprint arXiv:2008.00616},
year={2020}
}
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title={Separation of singing voice using nonnegative matrix partial co-factorization for singer identification},
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number={4},
pages={643--653},
year={2015},
publisher={IEEE}
}
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title={Wave-u-net: A multi-scale neural network for end-to-end audio source separation},
author={Stoller, Daniel and Ewert, Sebastian and Dixon, Simon},
journal={arXiv preprint arXiv:1806.03185},
year={2018}
}
@article{defossez2019music,
title={Music source separation in the waveform domain},
author={D{\'e}fossez, Alexandre and Usunier, Nicolas and Bottou, L{\'e}on and Bach, Francis},
journal={arXiv preprint arXiv:1911.13254},
year={2019}
}
@article{defossez2019demucs,
title={Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed},
author={D{\'e}fossez, Alexandre and Usunier, Nicolas and Bottou, L{\'e}on and Bach, Francis},
journal={arXiv preprint arXiv:1909.01174},
year={2019}
}
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year={2016},
month={mar}
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title={Wavenet: A generative model for raw audio},
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year={2016}
}
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title={End-to-End Music Source Separation: Is it Possible in the Waveform Domain?},
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journal={Proc. Interspeech 2019},
pages={4619--4623},
year={2019}
}
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year={2020}
}
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year={2019},
organization={IEEE}
}
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organization={IEEE}
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year={2019}
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title={Statistical language models based on neural networks},
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year={2012}
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}
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title={Learning long-term dependencies with gradient descent is difficult},
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title={Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks},
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