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Deep Learning applied to Music Signal Processing

  1. Music source separation (MSS) is to isolate musical instrument signals from the given music mixture. Stripes widely exist in music spectrograms, which potentially indicate high-level music information. For exa...

    Authors: Jiale Qian, Xinlu Liu, Yi Yu and Wei Li
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2023 2023:2
    Content type: Empirical Research Published on:

  2. The purpose of this paper is to show a music mixing system that is capable of automatically mixing separate raw recordings with good quality regardless of the music genre. This work recalls selected methods fo...

    Authors: Damian Koszewski, Thomas Görne, Grazina Korvel and Bozena Kostek
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2023 2023:1
    Content type: Empirical Research Published on:

  3. Speech emotion recognition (SER) is a hot topic in speech signal processing. When the training data and the test data come from different corpus, their feature distributions are different, which leads to the d...

    Authors: Xuan Cao, Maoshen Jia, Jiawei Ru and Tun-wen Pai
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2022 2022:32
    Content type: Methodology Published on:

  4. In recent years, there has been a national craze for metaverse concerts. However, existing meta-universe concert efforts often focus on immersive visual experiences and lack consideration of the musical and au...

    Authors: Cong Jin, Fengjuan Wu, Jing Wang, Yang Liu, Zixuan Guan and Zhe Han
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2022 2022:31
    Content type: Empirical Research Published on: