Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR

Felix Weninger, Hakan Erdogan, Shinji Watanabe, Emmanuel Vincent, Jonathan Le Roux, John R. Hershey, Björn W. Schuller. Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR. In Emmanuel Vincent, Arie Yeredor, Zbynek Koldovský, Petr Tichavský, editors, Latent Variable Analysis and Signal Separation - 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings. Volume 9237 of Lecture Notes in Computer Science, pages 91-99, Springer, 2015. [doi]

@inproceedings{WeningerEWVRHS15,
  title = {Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR},
  author = {Felix Weninger and Hakan Erdogan and Shinji Watanabe and Emmanuel Vincent and Jonathan Le Roux and John R. Hershey and Björn W. Schuller},
  year = {2015},
  doi = {10.1007/978-3-319-22482-4_11},
  url = {http://dx.doi.org/10.1007/978-3-319-22482-4_11},
  researchr = {https://researchr.org/publication/WeningerEWVRHS15},
  cites = {0},
  citedby = {0},
  pages = {91-99},
  booktitle = {Latent Variable Analysis and Signal Separation - 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings},
  editor = {Emmanuel Vincent and Arie Yeredor and Zbynek Koldovský and Petr Tichavský},
  volume = {9237},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-22481-7},
}