Abstract
The visualization of an audio signal’s time structure is the primary step for every rhythm synchronizer system. To achieve this, principle components of the musical signal beats as strength, tempo and onset time must be detected. A filter bank of 180 different comb filters (from 60 bpm to 240 bpm) is convolved with different styles of musical signal to visualize according to human perception. In each interval, tempo in frequency domain and then its onset time in time domain are extracted. Now the key point is how to cover the gap between each two adjacent beat occurrences, from the last beat terminal to the next beat onset time. A magic number of 100 milliseconds (corresponding to human perception) is used. This interval dichotomizes equally. The first 50ms is used to stretch the signal to the relaxation point at the zero and the next one to grow it up to the next consequent beat onset. Therefore, a continuous sinusoidal signal is presented to visualize the corresponding music rhythm. Different simulation plots of various music styles and their overlaps have illustrated the proposed method.
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Poostchi, M., Kamkar, I., Mohebbi, J. (2010). Music Visualization by Means of Comb Filter and Relaxation Time According to Human Perception. In: Gao, XZ., Gaspar-Cunha, A., Köppen, M., Schaefer, G., Wang, J. (eds) Soft Computing in Industrial Applications. Advances in Intelligent and Soft Computing, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11282-9_18
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DOI: https://doi.org/10.1007/978-3-642-11282-9_18
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