Singing voice separation with deep u-net convolutional networks, Proceedings of the International Society for Music Information Retrieval Conference, pp.23-27, 2017. ,
Multi-scale multi-band densenets for audio source separation, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp.21-25, 2017. ,
Music source separation using stacked hourglass networks, Proceedings of the International Society for Music Information Retrieval Conference, pp.289-296, 2018. ,
The MUSDB18 corpus for music separation, 2017. ,
The 2018 signal separation evaluation campaign, International Conference on Latent Variable Analysis and Signal Separation, pp.293-305, 2018. ,
Performance measurement in blind audio source separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.14, issue.4, pp.1462-1469, 2006. ,
URL : https://hal.archives-ouvertes.fr/inria-00544230
, Sisec mus 2018 objective evaluation results, pp.2019-2023
An overview of informed audio source separation, 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), pp.1-4, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00958661
Scoreinformed source separation for musical audio recordings: An overview, IEEE Signal Processing Magazine, vol.31, issue.3, pp.116-124, 2014. ,
Combining pitch-based inference and non-negative spectrogram factorization in separating vocals from polyphonic music, pp.17-22, 2008. ,
Textinformed audio source separation. example-based approach using non-negative matrix partial co-factorization, Journal of Signal Processing Systems, vol.79, issue.2, pp.117-131, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-00870066
Audiovisual speech source separation: An overview of key methodologies, IEEE Signal Processing Magazine, vol.31, issue.3, pp.125-134, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-00990000
Text-informed speech enhancement with deep neural networks, Sixteenth Annual Conference of the International Speech Communication Association, 2015. ,
Structured dropout for weak label and multi-instance learning and its application to scoreinformed source separation, IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2277-2281, 2017. ,
Monaural score-informed source separation for classical music using convolutional neural networks, Proceedings of the International Society for Music Information Retrieval Conference, pp.55-62, 2017. ,
End-to-end lyrics alignment for polyphonic music using an audio-to-character recognition model, 2019. ,
Neural machine translation by jointly learning to align and translate, 2014. ,
Effective approaches to attention-based neural machine translation, 2015. ,
Listen, attend and spell: A neural network for large vocabulary conversational speech recognition, IEEE International Conference on Acoustics, Speech and Signal Processing, pp.4960-4964, 2016. ,
Selfattention generative adversarial networks, 2018. ,
Attention-based multimodal neural machine translation, Proceedings of the First Conference on Machine Translation, vol.2, pp.639-645, 2016. ,
Learning to pinpoint singing voice from weakly labeled examples, Proceedings of the International Society for Music Information Retrieval Conference, pp.44-50, 2016. ,
Audio event detection using weakly labeled data, Proceedings of the 24th ACM international conference on Multimedia, pp.1038-1047, 2016. ,
Jointly detecting and separating singing voice: A multi-task approach, International Conference on Latent Variable Analysis and Signal Separation, pp.329-339, 2018. ,
Bidirectional recurrent neural networks, IEEE Transactions on Signal Processing, vol.45, issue.11, pp.2673-2681, 1997. ,
Long short-term memory, Neural computation, vol.9, issue.8, pp.1735-1780, 1997. ,
Monaural singing voice separation with skip-filtering connections and recurrent inference of timefrequency mask, IEEE International Conference on Acoustics, Speech and Signal Processing, pp.721-725, 2018. ,
Adam: A method for stochastic optimization, 2014. ,
Exploring data augmentation for improved singing voice detection with neural networks, Proceedings of the International Society for Music Information Retrieval Conference, pp.121-126, 2015. ,