Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision | Next revision Both sides next revision | ||
|
staff:vatolkin:publications [2022-03-17 19:35] igor.vatolkin [Peer-Reviewed Conference Proceedings] |
staff:vatolkin:publications [2022-08-13 18:11] igor.vatolkin [Peer-Reviewed Conference Proceedings] |
||
|---|---|---|---|
| Line 40: | Line 40: | ||
| ===== Peer-Reviewed Conference Proceedings ===== | ===== Peer-Reviewed Conference Proceedings ===== | ||
| + | |||
| + | <html><b><font color=#006633>[c41]</font></b> <i> L. Fricke, J. Kuzmic, and I. Vatolkin:</i>:<b><font color=#0000FF> Suppression of Background Noise in Speech Signals with Artificial Neural Networks, Exemplarily Applied to Keyboard Sounds</font></b>. Accepted for Proceedings of the 14th International Conference on Neural Computation Theory and Applications (NCTA), <font color=#996600>2022</font></html> | ||
| + | |||
| + | <html><b><font color=#006633>[c40]</font></b> <i> I. Vatolkin and C. McKay</i>:<b><font color=#0000FF> Stability of Symbolic Feature Group Importance in the Context of Multi-Modal Music Classification</font></b>. Accepted for Proceedings of the The 23rd International Society for Music Information Retrieval Conference (ISMIR), <font color=#996600>2022</font></html> | ||
| + | |||
| + | <html><b><font color=#006633>[c39]</font></b> <i> F. Ostermann, I. Vatolkin, and G. Rudolph</i>:<b><font color=#0000FF> Identification of the Most Relevant Zygonic Statistics and Semantic Audio Features for Genre Recognition</font></b>. Accepted for Proceedings of the 3rd Conference on AI Music Creativity (AIMC), <font color=#996600>2022</font></html> | ||
| <html><b><font color=#006633>[c38]</font></b> <i> I. Vatolkin</i>:<b><font color=#0000FF> Identification of the Most Relevant Zygonic Statistics and Semantic Audio Features for Genre Recognition</font></b>. Accepted for Proceedings of the International Computer Music Conference (ICMC), <font color=#996600>2022</font></html> | <html><b><font color=#006633>[c38]</font></b> <i> I. Vatolkin</i>:<b><font color=#0000FF> Identification of the Most Relevant Zygonic Statistics and Semantic Audio Features for Genre Recognition</font></b>. Accepted for Proceedings of the International Computer Music Conference (ICMC), <font color=#996600>2022</font></html> | ||