ACOUSTIC SIGNAL ENHANCEMENT APPARATUS, METHOD AND PROGRAM

    公开(公告)号:US20230370778A1

    公开(公告)日:2023-11-16

    申请号:US18030981

    申请日:2020-10-15

    摘要: Provided is an acoustic signal enhancement device, including



    a time-space covariance matrix estimation unit 2 configured to estimate a time-space covariance matrix Rf(n),Pf(n) corresponding to a sound source n, using a power λt,f(n) of the sound source n and an observation signal vector Xt,f composed of an observation signal xm,t,f from a microphone m;
    a reverberation suppression unit 3 configured to obtain a reverberation removal filter Gf(n) of the sound source n using the time-space covariance matrix Rf(n),Pf(n), and to generate a reverberation suppression signal vector Zt,f(n) corresponding to the observation signal xm,t,f for an emphasized sound of the sound source n using the reverberation removal filter Gf(n) and the observation signal vector Xt,f; and
    a sound source separation unit 4 configured to obtain an emphatic sound yt,f(n) of the sound source n and the power λt,f(n) of the sound source n using the reverberation suppression signal vector Zt,f(n).

    TARGET SOURCE SIGNAL GENERATION APPARATUS, TARGET SOURCE SIGNAL GENERATION METHOD, AND PROGRAM

    公开(公告)号:US20240038253A1

    公开(公告)日:2024-02-01

    申请号:US18265909

    申请日:2020-12-14

    摘要: A sound source signal generation technology based on an optimization algorithm that enables high-speed processing of sound source extraction is provided. A sound source signal generation device includes an optimization unit that optimizes a separation matrix W(f)=[w1(f), . . . , wK(f), WZ(f)] using an observed signal x(f, t), the optimization unit includes an auxiliary function calculation unit that calculates an auxiliary function Vi(f) (i=1, . . . , K) according to a predetermined equation, a first separation filter calculation unit that calculates a separation filters wi(f) (i=1, . . . , K) using auxiliary functions Vi(f) (i=1, . . . , K) and Vz(f), and a second separation filter calculation unit that calculates a separation filter WZ(f) according to a predetermined equation when a convergence condition is satisfied.

    NOISE SPATIAL COVARIANCE MATRIX ESTIMATION APPARATUS, NOISE SPATIAL COVARIANCE MATRIX ESTIMATION METHOD, AND PROGRAM

    公开(公告)号:US20220130406A1

    公开(公告)日:2022-04-28

    申请号:US17437701

    申请日:2020-02-28

    摘要: A time-variant noise spatial covariance matrix is estimated effectively. Using time-frequency-divided observation signals based on observation signals acquired by collecting acoustic signals emitted from one or a plurality of sound sources and mask information expressing the occupancy probability of a component of each of the time-frequency-divided observation signals that corresponds to each noise source, a time-independent first noise spatial covariance matrix corresponding to the time-frequency-divided observation signals and the mask information belonging to a long time interval is acquired for each noise source. Further, using the mask information of each of a plurality of different short time intervals, a mixture weight corresponding to each noise source in each short time interval is acquired. Furthermore, a time-variant third noise spatial covariance matrix is acquired, the third noise spatial covariance matrix being based on a time-variant second noise spatial covariance matrix, which corresponds to the time-frequency-divided observation signals and the mask information belonging to each short time interval and relates to noise formed by adding together all of the noise sources, and a weighted sum of the first noise spatial covariance matrices with the mixture weights of the respective short time intervals.

    SIGNAL PROCESSING APPARATUS, SIGNAL PROCESSING METHOD, AND PROGRAM

    公开(公告)号:US20230087982A1

    公开(公告)日:2023-03-23

    申请号:US17802090

    申请日:2020-02-26

    摘要: A signal processing device applies a convolutional separation filter, which is a combined filter of: a rear reverberation removal filter for suppressing a rear reverberation component from a mixed acoustic signal obtained by converting an observed mixed acoustic signal obtained by observing a source signal into a time-frequency domain; and a sound source separation filter for emphasizing components corresponding to source signals from the mixed acoustic signal, to a mixed acoustic signal string including the mixed acoustic signal and a delay signal of the mixed acoustic signal and estimates model parameters of a model for obtaining information corresponding to signals in which the rear reverberation component is suppressed and target signals emitted from target sound sources in the source signal are emphasized.

    SIGNAL PROCESSING DEVICE, SIGNAL PROCESSING METHOD, AND SIGNAL PROCESSING PROGRAM

    公开(公告)号:US20230067132A1

    公开(公告)日:2023-03-02

    申请号:US17794266

    申请日:2020-02-14

    摘要: A signal processing apparatus includes a neural network (“NN”), a sorting unit, and a spatial covariance matrix calculation unit. The NN converts a mixed signal, in which sounds of a plurality of sound sources input by a plurality of channels are mixed, into a separated signal separated into a signal for each sound source as a signal in a time domain as it is and outputs the separated signal. The sorting unit sorts, for the separated signal of each channel output from the NN, the separated signal of each channel such that the plurality of sound sources of a plurality of the separated signals are aligned among the plurality of channels. The spatial covariance matrix calculation unit calculates a spatial covariance matrix corresponding to each sound source in accordance with the separated signal for each channel output from the sorting unit and sorted.

    MASK ESTIMATION APPARATUS, MASK ESTIMATION METHOD, AND MASK ESTIMATION PROGRAM

    公开(公告)号:US20190267019A1

    公开(公告)日:2019-08-29

    申请号:US15998742

    申请日:2016-12-20

    摘要: A feature extraction unit in a mask estimation apparatus extracts, from a plurality of observation signals obtained by observing a plurality of acoustic signals at different positions, feature vectors obtained by collecting time-frequency components of the observation signals for each time-frequency point. A mask update unit uses the feature vectors, a mixture weight of each component distribution, and a shape parameter that is a model parameter capable of controlling a shape of each component distribution, where a probability distribution of the feature vectors is modeled by a mixture distribution consisting of a plurality of component distributions, to estimate masks indicating a proportion in which each component distribution contributes to each time-frequency point. A mixture weight update unit updates the mixture weight based on the updated masks. A parameter update unit updates the shape parameter by using the feature vectors and the masks.