Synthesising timbres and timbre-changes from adjectives/adverbs

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3907 LNCS, Issue , 2006, Pages 664-675

  Gounaropoulos, Alex ^a   Johnson, Colin ^a  

^a UNIVERSITY OF KENT   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER HARDWARE DESCRIPTION LANGUAGES; COMPUTER MUSIC; LEARNING SYSTEMS; PROBLEM SOLVING;

ADVERBS; SYNTHESIS CYCLE; TIMBRES;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 33745800820     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11732242_63     Document Type: Conference Paper

References (20)

1. Eduardo Reck Miranda. An artificial intelligence approach to sound design. Computer Music Journal, 19(2):59-75, 1995.
2. Allan Seago, Simon Holland, and Paul Mulholland. A critical analysis of synthesizer user interfaces for timbre. In Proceedings of the XVIIIrd British HCI Group Annual Conference. Springer, 2004.
3. Trevor Wishart. On Sonic Art. Harwood Academic Publishers, 1996. second edition, revised by Simon Emmerson; first edition 1985.
4. Russ Etherington and Bill Punch. Sea Wave: A system for musical timbre description. Computer Music Journal, 18(1):30-39, 1994.
5. Trevor Wishart. Audible Design. Orpheus the Pantomime, 1994.
6. Rosemary A. Fitzgerald and Adam T. Lindsay. Tying semantic labels to computational descriptors of similar timbres. In Proceedings of Sound and Music Computing 2004, 2004.
7. David M. Wessel. Timbre space as a musical control structure. Computer Music Journal, 3(2), 1979.
8. S. McAdams, S. Winsberg, S. Donnadieu, G de Soete, and J. Krimphoff. Perceptual scaling of synthesized musical timbres: Common dimensions, specificities, and latent subject classes. Psychological Research, 58:177-192, 1995.
9. Boźena Kostek. Soft Computing in Acoustics. Physica-Verlag, 1999.
10. John M. Grey. An Exploration of Musical Timbre. PhD thesis, Stanford University, Department of Music, 1975.
11. A.C. Disley and D.M. Howard. Spectral correlates of timbral semantics relating to the pipe organ. Speech, Music and Hearing, 46, 2004.
12. Colin G. Johnson. Exploring the sound-space of synthesis algorithms using interactive genetic algorithms. In Geraint A. Wiggins, editor, Proceedings of the AISB Workshop on Artificial Intelligence and Musical Creativity, Edinburgh, 1999.
13. James McDermott, Niall J.L. Griffith, and Michael O'Neill. Toward user-directed evolution of sound synthesis parameters. In Rothlauf et al., editor, Applications of Evolutionary Computing, pages 517-526. Springer, 2005.
14. Jennifer Yuen and Andrew Horner. Hybrid sampling-wavetable synthesis with genetic algorithms. Journal of the Audio Engineering Society, 45(5):316-330, 1997.
15. Aaron Sloman. Exploring design space and niche space. In 5th Scandinavian Conference on AI. IOS Press, 1995.
16. Thomas Mitchell. Machine Learning. McGraw-Hill, 1997.
17. Melanie Mitchell. An Introduction to Genetic Algorithms. Series in Complex Adaptive Systems. Bradford Books/MIT Press, 1996.
18. Janne Riionheimo and Vesa Valimaki. Parameter estimation of a plucked string synthesis model using a genetic algorithm with perceptual fitness calculation. EURASIP Journal on Applied Signal Processing, 8:791-805, 2003.
19. Alex A. Freitas. Data Mining and Knowledge Discovery with Evolutionary Algorithms. Springer, 2002.
20. David M. Howard and Andy M. Tyrrell. Psychoacoustically informed spectrography and timbre. Organised Sound, 2(2):65-76, 1997.