Time-scale atoms chains for transients detection in audio signals

Authors:
Vittoria Bruni;Silvia Marconi;Domenico Vitulano
Affiliations:
I.A.C., C.N.R., Rome, Italy;I.A.C., C.N.R., Rome, Italy and University "La Sapienza", ME.MO.MAT, Rome, Italy;I.A.C., C.N.R., Rome, Italy
Venue:
IEEE Transactions on Audio, Speech, and Language Processing
Year:
2010

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Abstract

This paper presents a novel approach for the extraction of the transients content of audio signals, usually represented as superposition of stationary, transient, and stochastic components. The proposed model exploits the predictable and peculiar time-scale behavior of transients by modeling them as superposition of suitable wavelet atoms. These latter allow to predict transients information even at scales where the tonal component is dominant. In this way it is possible to avoid, if required, the pre-analysis of the tonal component. Extensive experimental results show that the proposed model achieves good performances with a moderate computational effort and without any user's dependence.