Music Source Separation with Deep Convolution Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5331-6_21
Reference23 articles.
1. Seetharaman P, Pishdadian F, Pardo B (2017) Music/voice separation using 2D Fourier transform, October 2017. IEEE, New Paltz, NY, USA, pp 36–40. 978-1-5386-1631-4/17
2. Mun S, Choe S, Huh J, Chung JS (2020) The sound of my voice: speaker representation loss for target voice separation. In: International conference on acoustics, speech and signal processing. IEEE Barcelona, Spain, pp 1–5. 978-1-5090-6631-5/20
3. Zhang Y, Liu Y, Wang D (2021) Complex ratio masking for singing voice separation. In: IEEE international conference on acoustics, speech and signal processing. IEEE, Toronto, ON, Canada, pp 1–5. https://doi.org/10.1109/ICASSP39728.2021.9414398
4. Yang S, Zhang W-Q (2019) Singing voice separation based on deep regression neural network. In: IEEE international symposium on signal processing and information technology. IEEE, Ajman, United Arab Emirates, pp 1–5. 978-1-7281-5341-4/19
5. Chandna P, Miron M, Janer J, Gómez E (2017) Monaural audio source separation using deep convolutional neural networks. In: International conference on latent variable analysis and signal separation. Springer, India, pp 258–266. https://doi.org/10.1007/978-3-319-53547-0_25
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