Source separation by independent component analysis with moving constraint
AssigneeSony Computer Entertainment Inc.
InventorsJaekwon Yoo, Ruxin Chen
Life of this patent
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Abstract
Methods and apparatus for signal processing are disclosed. Source separation can be performed to extract moving source signals from mixtures of source signals by way of independent component analysis. Source motion is modeled by direct to reverberant ratio in the separation process, and independent component analysis techniques described herein use multivariate probability density functions to preserve the alignment of frequency bins in the source separation process.
Claims40
A method of processing signals with a signal processing device, comprising:
- receiving a plurality of time domain mixed signals in a signal processing device, each time domain mixed signal including a mixture of original source signals;
- converting the time domain mixed signals into the time-frequency domain, thereby generating time-frequency domain mixed signals corresponding to the time domain mixed signals;
- and
- performing independent component analysis on the time-frequency domain mixed signals to generate at least one estimated source signal corresponding to at least one of the original source signals,
- wherein the independent component analysis is performed in conjunction with a moving constraint that models by the direction and the source motion from the direct to reverberant ratio of a source signal, said direct to reverberant ratio obtained from de-mixing filters used in the independent component analysis, and
- the independent component analysis uses a multivariate probability density function to preserve the alignment of frequency bins in the at least one estimated source signal.
A signal processing device comprising:
- a processor;
- a memory;
- and
- computer coded instructions embodied in the memory and executable by the processor, wherein the instructions are configured to implement a method of signal processing comprising:
- receiving a plurality of time domain mixed signals, each time domain mixed signal including a mixture of original source signals;
- converting the time domain mixed signals into the time frequency domain, thereby generating time-frequency domain mixed signals corresponding to the time domain mixed signals;
- and
- performing independent component analysis on the time-frequency domain mixed signals to generate at least one estimated source signal corresponding to at least one of the original source signals,
- wherein the independent component analysis is performed in conjunction with a moving constraint that models source motion from the direct to reverberant ratio of a source signal, said direct to reverberant ratio obtained from de-mixing filters used in the independent component analysis, and
- the independent component analysis uses a multivariate probability density function to preserve the alignment of frequency bins in the at least one estimated source signal.
A computer program product comprising a non-transitory computer-readable medium having computer-readable program code embodied in the medium, the program code operable to perform signal processing operations comprising:
- receiving a plurality of time domain mixed signals, each time domain mixed signal including a mixture of original source signals;
- converting the time domain mixed signals into the time-frequency domain, thereby generating time-frequency domain mixed signals corresponding to the time domain mixed signals;
- and
- performing independent component analysis on the time-frequency domain mixed signals to generate at least one estimated source signal corresponding to at least one of the original source signals,
- wherein the independent component analysis is performed in conjunction with a moving constraint that models source motion from the direct to reverberant ratio of a source signal, said direct to reverberant ratio obtained from de-mixing filters used in the independent component analysis, and
- the independent component analysis uses a multivariate probability density function to preserve the alignment of frequency bins in the at least one estimated source signal.
Dependencies are inferred from the claim text.