Arias Vergara T, Vasquez Correa J, Gollwitzer S, Orozco-Arroyave JR, Schuster M, Nöth E (2019)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2019
Edited Volumes: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Book Volume: 11896
Pages Range: 679-687
ISBN: 9783030339036
DOI: 10.1007/978-3-030-33904-3_64
APA:
Arias Vergara, T., Vasquez Correa, J., Gollwitzer, S., Orozco-Arroyave, J.R., Schuster, M., & Nöth, E. (2019). Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users. In Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez (Eds.), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. (pp. 679-687).
MLA:
Arias Vergara, Tomás, et al. "Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users." Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Ed. Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez, 2019. 679-687.
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