Method and apparatus for blind source separation using two sensors

A computer readable storage medium encoded with processing instructions for causing a processor to perform a method of separating first and second mixture signals received through two sensors into source signals, comprising:

• (a) calculating a global signal absence probability for each frame of the mixture signals and a local signal absence probability for each frequency band of a frame for at least one of the first and second mixture signals;
• (b) estimating a spectrum vector in which a noise signal is eliminated for each frequency band using the global signal absence probability calculated in the calculating;
• (c) determining a plurality of frequency bands including at least one of a noise signal and a source signal using the local signal absence probability, and generating a source label vector which consists of a plurality of frequency bands assigned to each source, using an attenuation parameter and a delay parameter generated for each of the determined frequency bands;
• and
• (d) multiplying the spectrum vector estimated for each frequency band obtained in the estimating by the source label vector obtained in the determining, and obtaining signals separated according to the source signals.

An apparatus for separating first and second mixture signals received through two sensors into source signals, comprising:

• a signal absence probability calculator, which calculates a global signal absence probability for each frame of the mixture signals and a local signal absence probability for each frequency band of a frame for at least one of the first and second mixture signals;
• a signal estimation unit, which estimates a spectrum vector for each frequency band in which a noise signal is eliminated using the global signal absence probability calculated by the signal absence probability calculator;
• a source signal identification unit, which determines a plurality of frequency bands including at least one of a noise signal and a source signal using the local signal absence probability calculated by the signal absence probability calculator, and generates a source label vector which consists of a plurality of frequency bands assigned to each source signal, using an attenuation parameter and a delay parameter generated for each of the determined frequency bands;
• and
• a signal separator, which multiplies the spectrum vector estimated for each frequency band obtained by the signal estimation unit by the source label vector generated by the source identification unit, and obtains signals separated according to the source signal.

A method of separating first and second mixture signals received through two sensors into source signals, comprising:

• (a) calculating a global signal absence probability for each frame of the mixture signals and a local signal absence probability for each frequency band of the frame for at least one of the first and second mixture signals;
• (b) estimating a spectrum vector in which a noise signal is eliminated for each frequency band using the global signal absence probability calculated in the calculating, and generating first and second mixture signals without noise signals;
• (c) performing clustering using the first and second mixture signals without noise, and generating a source label vector consisting of a source and a frequency band assigned to each source;
• and
• (d) multiplying the source label vector obtained by the source identifying by the spectrum vector obtained by the estimating for each frequency band of the frame, and performing an inverse Fourier transform to separate the received signals into source signals of time domain.

A method of separating first and second mixture signals received through two microphones into source signals while eliminating noise from the received mixture signals, comprising:

• (a) calculating a global signal absence probability for each frame of the mixture signals and a local signal absence probability for each frequency band of a frame for at least one of the first and second mixture signals;
• (b) estimating a spectrum vector in which a noise signal is eliminated for each frequency band using the global signal absence probability calculated in the calculating;
• (c) determining a plurality of frequency bands including at least one of a noise signal and a source signal using the local signal absence probability, and generating a source label vector which consists of a plurality of frequency bands assigned to each source, using an attenuation parameter and a delay parameter generated for each of the determined frequency bands;
• and
• (d) multiplying the spectrum vector estimated for each frequency band obtained in the estimating by the source label vector obtained in the determining, and obtaining signals separated according to the source signals.