As research into the features of audio quality continues, the emphasis is increasingly on understanding the relationship with human emotions and how machines can be taught to do human-like analysis or synthesis. Separating the effects of audio content from those of its quality is a persistent challenge in this type of work.
https://www.aes.org/e-lib/browse.cfm?elib=21537
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
Start a discussion about this feature!
