Abstract: Processes are described herein for transforming an audio mixture for which a specific component is affected by reverberation, into a specific dry component (i.e. unaffected by the reverberation) and a background component. In the process described herein, the long-term effects of reverberation are explicitly taken into account by modelling the spectrogram of the specific component as the result of a matrix convolution along time between the spectrogram of the specific dry component and a reverberation matrix. Parameters of the model are estimated iteratively by minimizing a cost-function measuring the divergence between the spectrogram of the mixture signal and the model of the spectrogram of the mixture signal.

Abstract: A computer readable medium containing computer executable instructions is described for extracting a reference representation from a mixture representation that comprises the reference representation and a residual representation wherein the reference representation, the mixture representation, and the residual representation are representations of collections of acoustical waves stored on computer readable media.

Abstract: A computer readable medium containing computer executable instructions is described for extracting a reference representation from a mixture representation that comprises the reference representation and a residual representation wherein the reference representation, the mixture representation, and the residual representation are representations of collections of acoustical waves stored on computer readable media.

Abstract: A method is provided that comprises segmenting an audio source file; optimizing a model based upon probability; and separating the audio source file.

Abstract: Unsupervised learning algorithms for audio source separation such as non-negative matrix factorization (NMF) and principal components analysis (PCA) can be understood as a data matrix factorization subject to different constraints. These algorithms provide components with a relevant structure and homogeneous musical events. The invention presents an automatic fusion method to merge these components into tracks associated to the different instruments present in the sound source.