Abstract: A target signal extraction apparatus according to an embodiment of the present invention may comprise a steering vector estimator and a beamformer. The steering vector estimator may generate an input signal covariance according to input results for each frequency over time, generate a noise covariance on the basis of a variance determined according to output results corresponding to the input results, and generate a steering vector on the basis of the input signal covariance and the noise covariance. The beamformer may generate a beamforming weight according to a beamforming covariance determined according to the variance and the steering vector, and provide the output results on the basis of the input results and the beamforming weight.

Abstract: A sound source separation device according to an embodiment of the present disclosure includes a plurality of microphones, a matrix unit, and an output unit. The plurality of microphones may receive a plurality of microphone input signals transmitted from a plurality of sound sources. The matrix unit generates an objective function according to an estimated source vector and an estimated noise vector estimated based on the plurality of microphone input signals, and replace a first term and a second term included in the objective function using a log-likelihood function to estimate a demixing matrix. The output unit provides output vectors calculated based on the microphone input signals and the demixing matrix.

Abstract: A beamforming device according to an embodiment of the present invention may include a probability estimation unit, a steering vector unit, and a beamforming unit. The probability estimation unit may estimate a speech existence probability corresponding to a probability that a target speech signal exists based on an input vector. The steering vector unit may provide an estimated steering vector according to the speech existence probability and an input vector. The beamforming unit may calculate a weight vector based on the speech existence probability, the input vector, and the estimated steering vector to provide an output vector. According to the beamforming device of the present invention, it is possible to more accurately extract the target speech signal from the input signal by estimating the speech existence probability corresponding to the probability that the target speech signal exists based on the input vector to provide the steering vector and the weight vector.

Abstract: A target signal extraction apparatus according to an embodiment of the present invention may comprise a steering vector estimator and a beamformer. The steering vector estimator may generate an input signal covariance according to input results for each frequency over time, generate a noise covariance on the basis of a variance determined according to output results corresponding to the input results, and generate a steering vector on the basis of the input signal covariance and the noise covariance. The beamformer may generate a beamforming weight according to a beamforming covariance determined according to the variance and the steering vector, and provide the output results on the basis of the input results and the beamforming weight.