| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6920645 | Computers in Biology and Medicine | 2018 | 13 Pages |
Abstract
A database of snoring sounds is presented which are classified according to their sound excitation location based on objective criteria and verifiable video material. With the database, it could be demonstrated that machine classifiers can distinguish different excitation location of snoring sounds in the upper airway based on acoustic parameters.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Christoph Janott, Maximilian Schmitt, Yue Zhang, Kun Qian, Vedhas Pandit, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, Björn Schuller,