Wavelet Audio Cabal 8 (Full) KONTAKT-DECiBEL [UPDATED]
Wavelet Audio Cabal 8 (Full) KONTAKT-DECiBEL
in this paper, we propose a novel wavelet-based algorithm for blind single-channel music signal separation. the proposed algorithm can separate the music signal from the audio background. it decomposes the music signal into two layers, the harmonic layer and the noise layer. the harmonic layer represents the most important part of the music signal, and the noise layer represents the background noise. a thresholding algorithm is applied on the coefficients of the harmonic layer to extract the music signal. the music signal is a low-pass filtered by the first pass band of the median filter and the music signal is reconstructed by the inverse wavelet transform. because the noise layer is not used to extract the music signal, the quality of the extracted music signal is not affected by the noise level.
the wavelet transform is a powerful tool for detecting and extracting various types of information from various kinds of signals. the application of the wavelet transform in the audio signal analysis has been well documented in the literature. the performance of the wavelet transform, however, is limited to the wavelet bases which are used in the transform. in this paper, we propose a new high quality wavelet basis for the analysis of the audio signal. the proposed basis consists of all the wavelet functions which are invariant under rotation and reflection. the performance of the proposed basis is compared with the other bases and it is found that the proposed basis provides the best performance in the discrete cosine transform (dct) as well as the discrete wavelet transform (dwt) domains.
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