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Real-time audio processing on a raspberry Pi using deep neural networks

Fotios Drakopoulos (UGent) , Deepak Baby (UGent) and Sarah Verhulst (UGent)
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MLA
Drakopoulos, Fotios, et al. “Real-Time Audio Processing on a Raspberry Pi Using Deep Neural Networks.” Proceedings of the 23rd International Congress on Acoustics, Deutsche Gesellschaft für Akustik, 2019, pp. 2827–34.
APA
Drakopoulos, F., Baby, D., & Verhulst, S. (2019). Real-time audio processing on a raspberry Pi using deep neural networks. In Proceedings of the 23rd International Congress on Acoustics (pp. 2827–2834). Aachen, Germany: Deutsche Gesellschaft für Akustik.
Chicago author-date
Drakopoulos, Fotios, Deepak Baby, and Sarah Verhulst. 2019. “Real-Time Audio Processing on a Raspberry Pi Using Deep Neural Networks.” In Proceedings of the 23rd International Congress on Acoustics, 2827–34. Deutsche Gesellschaft für Akustik.
Chicago author-date (all authors)
Drakopoulos, Fotios, Deepak Baby, and Sarah Verhulst. 2019. “Real-Time Audio Processing on a Raspberry Pi Using Deep Neural Networks.” In Proceedings of the 23rd International Congress on Acoustics, 2827–2834. Deutsche Gesellschaft für Akustik.
Vancouver
1.
Drakopoulos F, Baby D, Verhulst S. Real-time audio processing on a raspberry Pi using deep neural networks. In: Proceedings of the 23rd International Congress on Acoustics. Deutsche Gesellschaft für Akustik; 2019. p. 2827–34.
IEEE
[1]
F. Drakopoulos, D. Baby, and S. Verhulst, “Real-time audio processing on a raspberry Pi using deep neural networks,” in Proceedings of the 23rd International Congress on Acoustics, Aachen, Germany, 2019, pp. 2827–2834.
@inproceedings{8630706,
  author       = {Drakopoulos, Fotios and Baby, Deepak and Verhulst, Sarah},
  booktitle    = {Proceedings of the 23rd International Congress on Acoustics},
  isbn         = {9783939296157 },
  issn         = {2226-7808},
  language     = {eng},
  location     = {Aachen, Germany},
  pages        = {2827--2834},
  publisher    = {Deutsche Gesellschaft für Akustik},
  title        = {Real-time audio processing on a raspberry Pi using deep neural networks},
  year         = {2019},
}