Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration
| Author: | Jun Deng, Björn SchullerORCiDGND, Florian Eyben, Dagmar Schuller, Zixing Zhang, Holly Francois, Eunmi Oh |
|---|---|
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/71694 |
| ISSN: | 0941-0643OPAC |
| ISSN: | 1433-3058OPAC |
| Parent Title (English): | Neural Computing and Applications |
| Publisher: | Springer |
| Place of publication: | Berlin [u.a.] |
| Type: | Article |
| Language: | English |
| Year of first Publication: | 2019 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2020/03/03 |
| Tag: | Artificial Intelligence; Software |
| Volume: | 32 |
| Issue: | 4 |
| First Page: | 1095 |
| Last Page: | 1107 |
| DOI: | https://doi.org/10.1007/s00521-019-04158-0 |
| Institutes: | Fakultät für Angewandte Informatik |
| Fakultät für Angewandte Informatik / Institut für Informatik | |
| Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing |
