Home > Search Results: recid:510363
Search:
 
Search Tips :: Simple Search
Search collections:
Sort by: Display results: Output format:
National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 

Warning: Requested record does not seem to exist.
Restoring and improving the technical quality of audio recordings using machine learning methods
 Lechovský, Adam ; Peterek, Nino (advisor) ; Dušek, Ondřej (referee)
The goal of this thesis is to train an artificial neural network which will be able to improve the technical quality of audio recordings. To achieve this, three artificial audio distortions are used to train seven different deep neural networks on pairs of distorted and undistorted audio. The resulting 21 networks are then evaluated using a number of objective and subjective measures. In the end, the networks learned to remove artificial distortions very well, but they did not learn to improve the technical quality of undistorted inputs. 1
Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.
Digital Repository :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.2
Maintained by admin.invenio@techlib.cz
This site is also available in the following languages:
Česky  English