Broadcasting and Media Magazine (방송과미디어)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
권호 표지

Speech/Audio Processing based on Deep Learning

딥러닝 기반의 음성/오디오 기술

  • Published : 2017.01.30
Download PDF
⟨ Previous Next ⟩

Abstract

Keywords

References

  1. Hinton, Geoffrey E. et al. "Reducing the dimensionality of data with neural networks." Science, (2006)
  2. Hinton, Geoffrey E., Simon Osindero, and Yee-Whye Teh. "A fast learning algorithm for deep belief nets." Neural computation 18.7 (2006): 1527-1554. https://doi.org/10.1162/neco.2006.18.7.1527
  3. Bengio, Yoshua, et al. "Greedy layer-wise training of deep networks." Advances in neural information processing systems 19 (2007): 153.
  4. Hinton, Geoffrey, et al. "Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups." IEEE Signal Processing Magazine 29.6 (2012): 82-97. https://doi.org/10.1109/MSP.2012.2205597
  5. Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems. (2012).
  6. Donahue, Jeffrey, et al. "Long-term recurrent convolutional networks for visual recognition and description." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. (2015).
  7. Dahl, George E., et al. "Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition." IEEE Transactions on Audio, Speech, and Language Processing 20.1 (2012): 30-42. https://doi.org/10.1109/TASL.2011.2134090
  8. Understanding LSTM Networks, http://colah.github.io/posts/2015-08-Understanding-LSTMs/
  9. The Unreasonable Effectiveness of Recurrent Neural Networks, http://karpathy.github.io/2015/05/21/rnn-effectiveness/
  10. Schuster, Mike, and Kuldip K. Paliwal. "Bidirectional recurrent neural networks." IEEE Transactions on Signal Processing, IEEE, (1997)
  11. Mikolov, Tomas, et al. "Strategies for training large scale neural network language models." Automatic Speech Recognition and Understanding (ASRU), 2011 IEEE Workshop on. IEEE, (2011).
  12. Graves, Alex, Abdel-rahman Mohamed, and Geoffrey Hinton. "Speech recognition with deep recurrent neural networks." 2013 IEEE international conference on acoustics, speech and signal processing. IEEE, (2013).
  13. Hannun, Awni, et al. "Deep speech: Scaling up end-to-end speech recognition." arXiv preprint arXiv:1412.5567(2014).
  14. Amodei, Dario, et al. "Deep speech 2: End-to-end speech recognition in English and mandarin." arXiv preprint arXiv:1512.02595(2015).
  15. A.W. Black, H. Zen, K. Tokuda, "Statistical parametric speech synthesis." 2007 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, (2007).
  16. Speech Synthesis, http://slideplayer.com/slide/3148265/
  17. http://www.slideshare.net/danilosoba1/statistical-parametric-speech-synthesis-heiga-zen
  18. Zen, Heiga, Andrew Senior, and Mike Schuster. "Statistical parametric speech synthesis using deep neural networks." 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, (2013).
  19. van den Oord, Aaron, et al. "Wavenet: A generative model for raw audio." arXiv preprint arXiv:1609.03499(2016)
  20. Soroush Mehri, et al. " SampleRNN: An Unconditional End-to-End Neural Audio Generation Model." https://openreview.net/forum?id=SkxKPDv5, under review on ICLR 2017.
  21. Southall, Carl, Ryan Stables, and Jason Hockman. "AUTOMATIC DRUM TRANSCRIPTION USING BI-DIRECTIONAL RECURRENT NEURAL NETWORKS." Proceedings of the International Society for Music Information Retrieval Conference (ISMIR). (2016).
  22. Vogl, Richard, Matthias Dorfer, and Peter Knees. "RECURRENT NEURAL NETWORKS FOR DRUM TRANSCRIPTION." Proceedings of the International Society for Music Information Retrieval Conference (ISMIR). (2016).
  23. Choi, Keunwoo, George Fazekas, and Mark Sandler. "Automatic tagging using deep convolutional neural networks." Proceedings of the International Society for Music Information Retrieval Conference (ISMIR). (2016).
  24. Schluter, Jan, Karen Ullrich, and Thomas Grill. "Structural segmentation with convolutional neural networks mirex submission." 10th running of the Music Information Retrieval Evaluation eXchange (MIREX 2014) (2014).
  25. Schluter, Jan. "Learning to pinpoint singing voice from weakly labeled examples." Proceedings of the International Society for Music Information Retrieval Conference (ISMIR). (2016).
  26. Leimeister, Matthias. "Feature learning for classifying drum components from nonnegative matrix factorization." Audio Engineering Society Convention 138. Audio Engineering Society, (2015).