article · 2006
Smart Audio Editing in the Spectrogram
C. G. V. D. Boogaart, R. Lienhart, C. G. V. D. Boogaart, R. Lienhart, Universität Augsburg, C. G. V. D. Boogaart, R. Lienhart
Cited by 0Abstract and details only
Abstract
Starting with a novel audio analysis and editing paradigm, a set of new and adaptive audio analysis and editing algorithms in the spectrogram are developed and integrated into a smart visual audio editing tool in a “what you see is what you hear ” style. At the core of our algorithms and methods is a very flexible audio spectrogram that goes beyond FFT and Wavelets and supports manipulating a signal at any chosen time-frequency resolution: the Gabor analysis and synthesis. It gives maximum accuracy of the representation, is fully invertible, and enables resolution zooming. Simple audio objects are localized in time and frequency. They can easily be identified visually and selected by simple geometric selection masks such as rectangles, combs and polygons. For many audio objects, however the structures in
Cite this paper
Boogaart, C. G. V. D., Lienhart, R., Boogaart, C. G. V. D., Lienhart, R., Augsburg, U., Boogaart, C. G. V. D., & Lienhart, R. (2006). Smart Audio Editing in the Spectrogram.
Boogaart, C. G. V. D., et al. “Smart Audio Editing in the Spectrogram.” 2006.
Boogaart, C. G. V. D., R. Lienhart, C. G. V. D. Boogaart, R. Lienhart, Universität Augsburg, C. G. V. D. Boogaart, and R. Lienhart. 2006. “Smart Audio Editing in the Spectrogram.”
Boogaart, C.G.V.D. et al. (2006) ‘Smart Audio Editing in the Spectrogram’.
@article{boogaart2006smart,
title = {{Smart Audio Editing in the Spectrogram}},
author = {Boogaart, C. G. V. D. and Lienhart, R. and Boogaart, C. G. V. D. and Lienhart, R. and Augsburg, Universität and Boogaart, C. G. V. D. and Lienhart, R.},
year = {2006}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.