Predominant Instrument Recognition in Polyphonic Music Using Convolutional Recurrent Neural Networks

Lekshmi Chandrika Reghunath, Rajeev Rajan. Predominant Instrument Recognition in Polyphonic Music Using Convolutional Recurrent Neural Networks. In Mitsuko Aramaki, Keiji Hirata 0001, Tetsuro Kitahara, Richard Kronland-Martinet, Sølvi Ystad, editors, Music in the AI Era - 15th International Symposium, CMMR 2021, Virtual Event, November 15-19, 2021, Revised Selected Papers. Volume 13770 of Lecture Notes in Computer Science, pages 214-227, Springer, 2021. [doi]

@inproceedings{ReghunathR21,
  title = {Predominant Instrument Recognition in Polyphonic Music Using Convolutional Recurrent Neural Networks},
  author = {Lekshmi Chandrika Reghunath and Rajeev Rajan},
  year = {2021},
  doi = {10.1007/978-3-031-35382-6_17},
  url = {https://doi.org/10.1007/978-3-031-35382-6_17},
  researchr = {https://researchr.org/publication/ReghunathR21},
  cites = {0},
  citedby = {0},
  pages = {214-227},
  booktitle = {Music in the AI Era - 15th International Symposium, CMMR 2021, Virtual Event, November 15-19, 2021, Revised Selected Papers},
  editor = {Mitsuko Aramaki and Keiji Hirata 0001 and Tetsuro Kitahara and Richard Kronland-Martinet and Sølvi Ystad},
  volume = {13770},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-35382-6},
}