Building a personalized audio equalizer interface with transfer learning and active learning

MIRUM 2012 - Proceedings of the 2nd International ACM Workshop on Music Information Retrieval with User-Centered and Multimodal Strategies, Co-located with ACM Multimedia 2012

Volumn , Issue , 2012, Pages 13-18

  Pardo, Bryan ^a   Little, David ^a   Gergle, Darren ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Active learning; Audio; Equalizer; Interface; Music; Transfer learning

Indexed keywords

ACTIVE LEARNING; AFFORDANCES; AUDIO; AUDIO EQUALIZERS; MANIPULATION TOOLS; MUSIC; POTENTIAL USERS; PRODUCTION SOFTWARE; TRANSFER LEARNING;

EQUALIZERS; FREQUENCY BANDS; INFORMATION RETRIEVAL; INTERFACES (MATERIALS);

AUDIO ACOUSTICS;

EID: 84870498573     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2390848.2390852     Document Type: Conference Paper

References (24)

1. Burton, J., "Ear Machine iQ: Intelligent Equaliser Plug-in for MacOS & Windows," Sound on Sound Magazine, 2011, Sound on Sound Ltd.: United Kingdon.
2. Sabin, A., Rafii, Z. and B. Pardo, "Weighting function-based rapid mapping of descriptors to audio processing parameters," Journal of the Audio Engineering Society, 2011, vol. 59(6): p. 419-430
3. Ear Machine's iQ equalization plugin. Available from: http://www.ear-machine.com/iQ.html.
4. Neuman, A.C., et al., "An evaluation of three adaptive hearing aid selection strategies," Journal of the Acoustical Society of America, 1987. 82(6): p. 1967-1976.
5. Durant, E.A., et al., "Efficient Perceptual Tuning of Hearing Aids with Genetic Algorithms," IEEE Transactions on Speech and Audio Processing, 2004. 12(2): p. 144-155.
6. Wakefield, G.H., et al., "Genetic Algorithms for Adaptive Psychophysical Procedures: Recipient-Directed Design of Speech-Processor MAPs," Ear Hear, 2005. 26 (4 Suppl.): p. 57S-72S
7. Kuk, F.K. and N.M. Pape, "The reliability of a modified simplex procedure in hearing aid frequency-response selection," Journal of Speech and Hearing Research, 1992. 35(2): p. 418-429.
8. Mecklenburg, S. and J. Loviscach, "subjEQt: Controlling an equalizer through subjective terms," Extended Abstracts of the Proc. of ACM CHI 2006. NY: ACM Press.: Montreal, Canada. p. 1109-1114.
9. Reed, D., "Capturing perceptual expertise: a sound equalization expert system," Knowledge-Based Systems, 2001. 14: p. 111-118.
10. Morris, D. and J. Secretan, "Computational creativity support: Using algorithms and machine learning to help people be more creative," Ext. Abs. of the Proc. of ACM CHI 2009, Boston, USA. p. 4733-4736.
11. Simon, I., Morris, D., and Basu, S., "MySong: Automatic accompaniment generation for vocal melodies," Proceedings of ACM CHI 2008, Florence, Italy. p. 725-734.
12. Fogarty, K., Tan, D., Kapoor, A., and Winder, S., "CueFlik: Interactive Concept Learning in Image Search," Proc. of ACM CHI 2008, Florence, Italy. p. 29-38.
13. Fiebrink, R., D. Morris, and M.R. Morris. "Dynamic mapping of physical controls for tabletop groupware," Proceedings of ACM CHI 2009. Boston, MA.
14. Fiebrink, R., D. Trueman, and P.R. Cook, "A meta- instrument for interactive, on-the-fly machine learning," Proceedings of New Interfaces for Musical Expression (NIME) 2009, Pittsburgh, PA.
15. Cohn, D., Atlas, L., and Ladner, R., "Improving Generalization with Active Learning," Machine Learning, 1994 15: p. 201-221.
16. Settles, B., Active Learning, Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool, 2011. ISBN: 9781608457250
17. Bloodgood, M.A.C.-B., C. Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation. in Proc. of the Association for Computational Linguistics(ACL 2010). Uppsala, Sweden
18. Pan, S.A.Y., Q., "A Survey on Transfer Learning," IEEE Transactions on Knowledge and Data Engineering, 2010. 22(10): p. 1345-1359.
19. Ando, R. and T. Zhang, "A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data," Journal of Machine Learning Research, 2005. 6(Nov):p. 1817-1853
20. Gajos, K.A.W., D.S., SUPPLE: Automatically Generating User Interfaces., Proc. of Intelligent User Interfaces (IUI 2004), 2004, Funchal, Portugal. p. 93-100.
21. Lin, J. and J.A. Landay, Damask, "A Tool for Early-stage Design and Prototyping of Multi-device User Interfaces," Proc. of the 8th International Workshop on Visual Computing, 2002. p. 573-580.
22. Nichols, J., Myers, B.A., Higgins, M., Hughes, J., Harris, T.K., Rosenfeld, R., and M. Pignol, "Generating remote control interfaces for complex appliances," UIST '02 Proceedings of the 15th annual ACM Symposium on User Interface Software and Technology, 2002, Paris, France. p. 161-170.
23. Pardo, B., Little, D. and D. Gergle, "Towards Speeding Audio EQ Interface Building with Transfer Learning," Proceedings of New Interfaces for Musical Expression (NIME) 2012, Ann Arbor, MI, USA, May 21-23, 2012
24. Su, X. and T.M. Khoshgoftaar, "A Survey of Collaborative Filtering Techniques," Advances in Artificial Intelligence, 2009. Volume 2009 (2009)