Select Language

AI社区

公开数据集

DSD100曲目数据集

DSD100曲目数据集

14.2G
387 浏览
0 喜欢
3 次下载
0 条讨论
Music Analysis Audio

数据结构 ? 14.2G

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Drawing

    The dsd100 is a dataset of 100 full lengths music tracks of different styles along with their isolated drums, bass, vocals and others stems.

    dsd100 contains two folders, a folder with a training set: "train", composed of 50 songs, and a folder with a test set: "test", composed of 50 songs. Supervised approaches should be trained on the training set and tested on both sets.

    For each file, the mixture correspond to the sum of all the signals. All signals are stereophonic and encoded at 44.1kHz.

    The data from dsd100 consist of 100 tracks which are derived from The 'Mixing Secrets' Free Multitrack Download Library. Please refer to this original resource for any question regarding your rights on your use of the DSD100 data.

    Have a look at the detailed list of all tracks.

    Download

    Parsers

    • dsdtools: Python based dataset parser
    • dsd100mat: MATLAB scripts to parse and process dsd100.

    Evaluation

    • bsseval: Matlab bases evaluation
    • SiSEC 2016: Signal Separation Evaluation Challenge 2016

    Acknowledgements

    We would like to thank Mike Senior not only for giving us the permission to use this multitrack material, but also for maintaining such resources for the audio community.

    Authors

    • Zafar Rafii
    • Antoine Liutkus
    • Fabian-Robert St?ter
    • Stylianos Ioannis Mimilakis

    Citation

    If you use this dataset, please reference it accordingly:

    @inproceedings{
      SiSEC16,
      Title = {The 2016 Signal Separation Evaluation Campaign},
      Address = {Cham},
      Author = {Liutkus, Antoine and St{"o}ter, Fabian-Robert and Rafii, Zafar and Kitamura, Daichi and Rivet, Bertrand and Ito, Nobutaka and Ono, Nobutaka and Fontecave, Julie},
      Editor = {Tichavsk{'y}, Petr and Babaie-Zadeh, Massoud and Michel, Olivier J.J. and Thirion-Moreau, Nad{`e}ge},
      Pages = {323--332},
      Publisher = {Springer International Publishing},
      Year = {2017},
      booktitle = {Latent Variable Analysis and Signal Separation - 12th International Conference, {LVA/ICA} 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings},
    }
    
    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:0 去赚积分?
    • 387浏览
    • 3下载
    • 0点赞
    • 收藏
    • 分享