L. Gabrielli and S. Squartini, “Ibrida: A New DWT-Domain Sound Hybridization Tool,” in Proc. AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio, Mar. 2012, Paper 3-4. [Online]. Available: https://aes.org/publications/elibrary-page/?id=16192
Gabrielli L, Squartini S. Ibrida: A New DWT-Domain Sound Hybridization Tool. In: AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio. Audio Engineering Society; 2012. Paper 3-4. Available from: https://aes.org/publications/elibrary-page/?id=16192
@inproceedings{Gabrielli2012_16192,
author = {Gabrielli, Leonardo and Squartini, Stefano},
title = {{Ibrida: A New DWT-Domain Sound Hybridization Tool}},
booktitle = {AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio},
note = {Paper 3-4},
year = {2012},
month = mar,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=16192}
}
TY - CPAPER
TI - Ibrida: A New DWT-Domain Sound Hybridization Tool
AU - Gabrielli, Leonardo
AU - Squartini, Stefano
T2 - AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio
M1 - Paper 3-4
PY - 2012
DA - 2012/03/06
UR - https://aes.org/publications/elibrary-page/?id=16192
PB - Audio Engineering Society
LA - en
AB - This paper presents a new deterministic algorithm for the creative morphing or hybridization of two sounds, for use in movies and videogames sonification, experimental music composition or creative sound synthesis. The algorithm is based on DiscreteWavelet Transform (DWT) filter banks, for sound decomposition, and one IDWT filter bank where a mix of the DWT coefficients streams is transformed back in the time domain for output. The use of the DWT for this purpose proves more computationally efficient than stochastic methods while more perceptually oriented than DFT because of its nonuniform time-frequency decomposition and introduces less control parameters. The addition of an onset detection algorithm in the wavelet domain helps creating dynamic morphing. A Pure Data implementation of the algorithm has been performed to investigate the problem of controlling the morphing parameters with physical interfaces such as touch sensitive screens.
ER -