%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 }