AES E-Library

AES E-Library

Neural Network Mapping to Subjective Spectra of Music Sounds

Document Thumbnail

Experiments using a Neural Network for audio processing and coding are described. A multilayer Neural Network was trained to map audio signals to subjective auditory spectra and derive the signal's noise masking threshold. Such mapping can be achieved subsequently for input audio data and with small error margin. Tests are also described assessing the success of such a network for recognition of characteristic features of specific musical sounds.

AES Convention: Paper Number:
Publication Date:

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

AES - Audio Engineering Society