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%0 Conference Paper
%1 HinOrt2022
%A Hinrichs, Reemt
%A Ortmann, Felix
%A Ostermann, Jörn
%B IEEE EMBS 2022
%D 2022
%K Vector-Quantized leibnizailab myown
%T Vector-Quantized Zero-Delay Deep Autoencoders for the Compression of Electrical Stimulation Patterns of Cochlear Implants Using STOI
@inproceedings{HinOrt2022,
added-at = {2022-12-08T15:20:21.000+0100},
author = {Hinrichs, Reemt and Ortmann, Felix and Ostermann, J{\"o}rn},
biburl = {https://www.bibsonomy.org/bibtex/21778efd8fc2b4370f8f5469326296148/tntl3s},
booktitle = {IEEE EMBS 2022},
interhash = {15d2b4c0487b20cf4e8c7cf0fbaeacbb},
intrahash = {1778efd8fc2b4370f8f5469326296148},
keywords = {Vector-Quantized leibnizailab myown},
timestamp = {2022-12-08T15:20:21.000+0100},
title = {Vector-Quantized Zero-Delay Deep Autoencoders for the Compression of Electrical Stimulation Patterns of Cochlear Implants Using STOI},
year = 2022
}