Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users

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

Journal

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

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How to cite

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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