Towards Speeding Audio EQ Interface Building with Transfer Learning
Bryan Pardo, David Little, and Darren Gergle
Proceedings of the International Conference on New Interfaces for Musical Expression
- Year: 2012
- Location: Ann Arbor, Michigan
- Keywords: Human computer interaction, music, multimedia production, transfer learning
- DOI: 10.5281/zenodo.1180563 (Link to paper)
- PDF link
Abstract:
Potential users of audio production software, such as parametric audio equalizers, may be discouraged by the complexity of the interface. A new approach creates a personalized on-screen slider that lets the user manipulate the audio in terms of a descriptive term (e.g. "warm"), without the user needing to learn or use the interface of an equalizer. This system learns mappings by presenting a sequence of sounds to the user and correlating the gain in each frequency band with the user's preference rating. The system speeds learning through transfer learning. Results on a study of 35 participants show how an effective, personalized audio manipulation tool can be automatically built after only three ratings from the user.
Citation:
Bryan Pardo, David Little, and Darren Gergle. 2012. Towards Speeding Audio EQ Interface Building with Transfer Learning. Proceedings of the International Conference on New Interfaces for Musical Expression. DOI: 10.5281/zenodo.1180563BibTeX Entry:
@inproceedings{Pardo2012, abstract = {Potential users of audio production software, such as parametric audio equalizers, may be discouraged by the complexity of the interface. A new approach creates a personalized on-screen slider that lets the user manipulate the audio in terms of a descriptive term (e.g. "warm"), without the user needing to learn or use the interface of an equalizer. This system learns mappings by presenting a sequence of sounds to the user and correlating the gain in each frequency band with the user's preference rating. The system speeds learning through transfer learning. Results on a study of 35 participants show how an effective, personalized audio manipulation tool can be automatically built after only three ratings from the user.}, address = {Ann Arbor, Michigan}, author = {Bryan Pardo and David Little and Darren Gergle}, booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression}, doi = {10.5281/zenodo.1180563}, issn = {2220-4806}, keywords = {Human computer interaction, music, multimedia production, transfer learning}, publisher = {University of Michigan}, title = {Towards Speeding Audio EQ Interface Building with Transfer Learning}, url = {http://www.nime.org/proceedings/2012/nime2012_74.pdf}, year = {2012} }