A low-latency, real-time-capable singing voice detection method with LSTM recurrent neural networks

Bernhard Lehner, Gerhard Widmer, Sebastian Böck. A low-latency, real-time-capable singing voice detection method with LSTM recurrent neural networks. In 23rd European Signal Processing Conference, EUSIPCO 2015, Nice, France, August 31 - September 4, 2015. pages 21-25, IEEE, 2015. [doi]

@inproceedings{LehnerWB15,
  title = {A low-latency, real-time-capable singing voice detection method with LSTM recurrent neural networks},
  author = {Bernhard Lehner and Gerhard Widmer and Sebastian Böck},
  year = {2015},
  doi = {10.1109/EUSIPCO.2015.7362337},
  url = {http://dx.doi.org/10.1109/EUSIPCO.2015.7362337},
  researchr = {https://researchr.org/publication/LehnerWB15},
  cites = {0},
  citedby = {0},
  pages = {21-25},
  booktitle = {23rd European Signal Processing Conference, EUSIPCO 2015, Nice, France, August 31 - September 4, 2015},
  publisher = {IEEE},
  isbn = {978-0-9928-6263-3},
}