The Experts below are selected from a list of 6966 Experts worldwide ranked by ideXlab platform

Shoji Makino - One of the best experts on this subject based on the ideXlab platform.

  • time Frequency Bin wise switching of minimum variance distortionless response beamformer for underdetermined situations
    International Conference on Acoustics Speech and Signal Processing, 2019
    Co-Authors: Kouei Yamaoka, Nobutaka Ono, Shoji Makino, Takeshi Yamada
    Abstract:

    In this paper, we present a speech enhancement method using two microphones in underdetermined situations. Time-Frequency (TF) Binary masking is a conventional method of enhancing speech in underdetermined situations by appropriately multiplying each TF component by zero or one. Extending this method, we previously proposed a new method called the time-Frequency-Bin-wise switching (TFS) beamformer. In this method, we switch multiple preconstructed beamformers in each TF Bin, each of which suppresses a particular interferer. However, this method requires the pre-estimation of beamformer filter coefficients using the target-active period and interferer-wise-active periods as the prior information. In this paper, to overcome this limitation, we formulate the switching and construction of spatial filters as a joint optimization problem, which can be understood from two viewpoints: the clustering of the most dominant interferer signal in each TF Bin and the construction of a minimum variance distortionless response beamformer using such Bins. In an experiment, we confirmed that the proposed method was superior to conventional TF masking and fixed beamforming during speech enhancement regardless of the direction of interferers.

  • ICASSP - Time-Frequency-Bin-wise Switching of Minimum Variance Distortionless Response Beamformer for Underdetermined Situations
    ICASSP 2019 - 2019 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2019
    Co-Authors: Kouei Yamaoka, Nobutaka Ono, Shoji Makino, Takeshi Yamada
    Abstract:

    In this paper, we present a speech enhancement method using two microphones in underdetermined situations. Time-Frequency (TF) Binary masking is a conventional method of enhancing speech in underdetermined situations by appropriately multiplying each TF component by zero or one. Extending this method, we previously proposed a new method called the time-Frequency-Bin-wise switching (TFS) beamformer. In this method, we switch multiple preconstructed beamformers in each TF Bin, each of which suppresses a particular interferer. However, this method requires the pre-estimation of beamformer filter coefficients using the target-active period and interferer-wise-active periods as the prior information. In this paper, to overcome this limitation, we formulate the switching and construction of spatial filters as a joint optimization problem, which can be understood from two viewpoints: the clustering of the most dominant interferer signal in each TF Bin and the construction of a minimum variance distortionless response beamformer using such Bins. In an experiment, we confirmed that the proposed method was superior to conventional TF masking and fixed beamforming during speech enhancement regardless of the direction of interferers.

  • time Frequency Bin wise beamformer selection and masking for speech enhancement in underdetermined noisy scenarios
    European Signal Processing Conference, 2018
    Co-Authors: Kouei Yamaoka, Andreas Brendel, Nobutaka Ono, Shoji Makino, Michael Buerger, Takeshi Yamada, Walter Kellermann
    Abstract:

    In this paper, we present a speech enhancement method using two microphones for underdetermined situations. A conventional speech enhancement method for underdetermined situations is time-Frequency masking, where speech is enhanced by multiplying zero or one to each time-Frequency component appropriately. Extending this method, we switch multiple preconstructed beamformers at each time-Frequency Bin, each of which suppresses a particular interferer. This method can suppress an interferer even when both the target and an interferer are simultaneously active at a given time-Frequency Bin. As a switching criterion, selection of minimum value of the outputs of the all beamformers at each time-Frequency Bin is investigated. Additionally, another method using direction of arrival estimation is also investigated. In experiments, we confirmed that the proposed methods were superior to conventional time-Frequency masking and fixed beamforming in the performance of speech enhancement.

  • EUSIPCO - Time-Frequency-Bin-Wise Beamformer Selection and Masking for Speech Enhancement in Underdetermined Noisy Scenarios
    2018 26th European Signal Processing Conference (EUSIPCO), 2018
    Co-Authors: Kouei Yamaoka, Andreas Brendel, Nobutaka Ono, Shoji Makino, Michael Buerger, Takeshi Yamada, Walter Kellermann
    Abstract:

    In this paper, we present a speech enhancement method using two microphones for underdetermined situations. A conventional speech enhancement method for underdetermined situations is time-Frequency masking, where speech is enhanced by multiplying zero or one to each time-Frequency component appropriately. Extending this method, we switch multiple preconstructed beamformers at each time-Frequency Bin, each of which suppresses a particular interferer. This method can suppress an interferer even when both the target and an interferer are simultaneously active at a given time-Frequency Bin. As a switching criterion, selection of minimum value of the outputs of the all beamformers at each time-Frequency Bin is investigated. Additionally, another method using direction of arrival estimation is also investigated. In experiments, we confirmed that the proposed methods were superior to conventional time-Frequency masking and fixed beamforming in the performance of speech enhancement.

  • Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment
    IEEE Transactions on Audio Speech and Language Processing, 2011
    Co-Authors: Hiroshi Sawada, Shoko Araki, Shoji Makino
    Abstract:

    This paper presents a blind source separation method for convolutive mixtures of speech/audio sources. The method can even be applied to an underdetermined case where there are fewer microphones than sources. The separation operation is performed in the Frequency domain and consists of two stages. In the first stage, Frequency-domain mixture samples are clustered into each source by an expectation-maximization (EM) algorithm. Since the clustering is performed in a Frequency Bin-wise manner, the permutation ambiguities of the Bin-wise clustered samples should be aligned. This is solved in the second stage by using the probability on how likely each sample belongs to the assigned class. This two-stage structure makes it possible to attain a good separation even under reverberant conditions. Experimental results for separating four speech signals with three microphones under reverberant conditions show the superiority of the new method over existing methods. We also report separation results for a benchmark data set and live recordings of speech mixtures.

Takeshi Yamada - One of the best experts on this subject based on the ideXlab platform.

  • time Frequency Bin wise switching of minimum variance distortionless response beamformer for underdetermined situations
    International Conference on Acoustics Speech and Signal Processing, 2019
    Co-Authors: Kouei Yamaoka, Nobutaka Ono, Shoji Makino, Takeshi Yamada
    Abstract:

    In this paper, we present a speech enhancement method using two microphones in underdetermined situations. Time-Frequency (TF) Binary masking is a conventional method of enhancing speech in underdetermined situations by appropriately multiplying each TF component by zero or one. Extending this method, we previously proposed a new method called the time-Frequency-Bin-wise switching (TFS) beamformer. In this method, we switch multiple preconstructed beamformers in each TF Bin, each of which suppresses a particular interferer. However, this method requires the pre-estimation of beamformer filter coefficients using the target-active period and interferer-wise-active periods as the prior information. In this paper, to overcome this limitation, we formulate the switching and construction of spatial filters as a joint optimization problem, which can be understood from two viewpoints: the clustering of the most dominant interferer signal in each TF Bin and the construction of a minimum variance distortionless response beamformer using such Bins. In an experiment, we confirmed that the proposed method was superior to conventional TF masking and fixed beamforming during speech enhancement regardless of the direction of interferers.

  • ICASSP - Time-Frequency-Bin-wise Switching of Minimum Variance Distortionless Response Beamformer for Underdetermined Situations
    ICASSP 2019 - 2019 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2019
    Co-Authors: Kouei Yamaoka, Nobutaka Ono, Shoji Makino, Takeshi Yamada
    Abstract:

    In this paper, we present a speech enhancement method using two microphones in underdetermined situations. Time-Frequency (TF) Binary masking is a conventional method of enhancing speech in underdetermined situations by appropriately multiplying each TF component by zero or one. Extending this method, we previously proposed a new method called the time-Frequency-Bin-wise switching (TFS) beamformer. In this method, we switch multiple preconstructed beamformers in each TF Bin, each of which suppresses a particular interferer. However, this method requires the pre-estimation of beamformer filter coefficients using the target-active period and interferer-wise-active periods as the prior information. In this paper, to overcome this limitation, we formulate the switching and construction of spatial filters as a joint optimization problem, which can be understood from two viewpoints: the clustering of the most dominant interferer signal in each TF Bin and the construction of a minimum variance distortionless response beamformer using such Bins. In an experiment, we confirmed that the proposed method was superior to conventional TF masking and fixed beamforming during speech enhancement regardless of the direction of interferers.

  • time Frequency Bin wise beamformer selection and masking for speech enhancement in underdetermined noisy scenarios
    European Signal Processing Conference, 2018
    Co-Authors: Kouei Yamaoka, Andreas Brendel, Nobutaka Ono, Shoji Makino, Michael Buerger, Takeshi Yamada, Walter Kellermann
    Abstract:

    In this paper, we present a speech enhancement method using two microphones for underdetermined situations. A conventional speech enhancement method for underdetermined situations is time-Frequency masking, where speech is enhanced by multiplying zero or one to each time-Frequency component appropriately. Extending this method, we switch multiple preconstructed beamformers at each time-Frequency Bin, each of which suppresses a particular interferer. This method can suppress an interferer even when both the target and an interferer are simultaneously active at a given time-Frequency Bin. As a switching criterion, selection of minimum value of the outputs of the all beamformers at each time-Frequency Bin is investigated. Additionally, another method using direction of arrival estimation is also investigated. In experiments, we confirmed that the proposed methods were superior to conventional time-Frequency masking and fixed beamforming in the performance of speech enhancement.

  • EUSIPCO - Time-Frequency-Bin-Wise Beamformer Selection and Masking for Speech Enhancement in Underdetermined Noisy Scenarios
    2018 26th European Signal Processing Conference (EUSIPCO), 2018
    Co-Authors: Kouei Yamaoka, Andreas Brendel, Nobutaka Ono, Shoji Makino, Michael Buerger, Takeshi Yamada, Walter Kellermann
    Abstract:

    In this paper, we present a speech enhancement method using two microphones for underdetermined situations. A conventional speech enhancement method for underdetermined situations is time-Frequency masking, where speech is enhanced by multiplying zero or one to each time-Frequency component appropriately. Extending this method, we switch multiple preconstructed beamformers at each time-Frequency Bin, each of which suppresses a particular interferer. This method can suppress an interferer even when both the target and an interferer are simultaneously active at a given time-Frequency Bin. As a switching criterion, selection of minimum value of the outputs of the all beamformers at each time-Frequency Bin is investigated. Additionally, another method using direction of arrival estimation is also investigated. In experiments, we confirmed that the proposed methods were superior to conventional time-Frequency masking and fixed beamforming in the performance of speech enhancement.

Kouei Yamaoka - One of the best experts on this subject based on the ideXlab platform.

  • time Frequency Bin wise switching of minimum variance distortionless response beamformer for underdetermined situations
    International Conference on Acoustics Speech and Signal Processing, 2019
    Co-Authors: Kouei Yamaoka, Nobutaka Ono, Shoji Makino, Takeshi Yamada
    Abstract:

    In this paper, we present a speech enhancement method using two microphones in underdetermined situations. Time-Frequency (TF) Binary masking is a conventional method of enhancing speech in underdetermined situations by appropriately multiplying each TF component by zero or one. Extending this method, we previously proposed a new method called the time-Frequency-Bin-wise switching (TFS) beamformer. In this method, we switch multiple preconstructed beamformers in each TF Bin, each of which suppresses a particular interferer. However, this method requires the pre-estimation of beamformer filter coefficients using the target-active period and interferer-wise-active periods as the prior information. In this paper, to overcome this limitation, we formulate the switching and construction of spatial filters as a joint optimization problem, which can be understood from two viewpoints: the clustering of the most dominant interferer signal in each TF Bin and the construction of a minimum variance distortionless response beamformer using such Bins. In an experiment, we confirmed that the proposed method was superior to conventional TF masking and fixed beamforming during speech enhancement regardless of the direction of interferers.

  • ICASSP - Time-Frequency-Bin-wise Switching of Minimum Variance Distortionless Response Beamformer for Underdetermined Situations
    ICASSP 2019 - 2019 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2019
    Co-Authors: Kouei Yamaoka, Nobutaka Ono, Shoji Makino, Takeshi Yamada
    Abstract:

    In this paper, we present a speech enhancement method using two microphones in underdetermined situations. Time-Frequency (TF) Binary masking is a conventional method of enhancing speech in underdetermined situations by appropriately multiplying each TF component by zero or one. Extending this method, we previously proposed a new method called the time-Frequency-Bin-wise switching (TFS) beamformer. In this method, we switch multiple preconstructed beamformers in each TF Bin, each of which suppresses a particular interferer. However, this method requires the pre-estimation of beamformer filter coefficients using the target-active period and interferer-wise-active periods as the prior information. In this paper, to overcome this limitation, we formulate the switching and construction of spatial filters as a joint optimization problem, which can be understood from two viewpoints: the clustering of the most dominant interferer signal in each TF Bin and the construction of a minimum variance distortionless response beamformer using such Bins. In an experiment, we confirmed that the proposed method was superior to conventional TF masking and fixed beamforming during speech enhancement regardless of the direction of interferers.

  • time Frequency Bin wise beamformer selection and masking for speech enhancement in underdetermined noisy scenarios
    European Signal Processing Conference, 2018
    Co-Authors: Kouei Yamaoka, Andreas Brendel, Nobutaka Ono, Shoji Makino, Michael Buerger, Takeshi Yamada, Walter Kellermann
    Abstract:

    In this paper, we present a speech enhancement method using two microphones for underdetermined situations. A conventional speech enhancement method for underdetermined situations is time-Frequency masking, where speech is enhanced by multiplying zero or one to each time-Frequency component appropriately. Extending this method, we switch multiple preconstructed beamformers at each time-Frequency Bin, each of which suppresses a particular interferer. This method can suppress an interferer even when both the target and an interferer are simultaneously active at a given time-Frequency Bin. As a switching criterion, selection of minimum value of the outputs of the all beamformers at each time-Frequency Bin is investigated. Additionally, another method using direction of arrival estimation is also investigated. In experiments, we confirmed that the proposed methods were superior to conventional time-Frequency masking and fixed beamforming in the performance of speech enhancement.

  • EUSIPCO - Time-Frequency-Bin-Wise Beamformer Selection and Masking for Speech Enhancement in Underdetermined Noisy Scenarios
    2018 26th European Signal Processing Conference (EUSIPCO), 2018
    Co-Authors: Kouei Yamaoka, Andreas Brendel, Nobutaka Ono, Shoji Makino, Michael Buerger, Takeshi Yamada, Walter Kellermann
    Abstract:

    In this paper, we present a speech enhancement method using two microphones for underdetermined situations. A conventional speech enhancement method for underdetermined situations is time-Frequency masking, where speech is enhanced by multiplying zero or one to each time-Frequency component appropriately. Extending this method, we switch multiple preconstructed beamformers at each time-Frequency Bin, each of which suppresses a particular interferer. This method can suppress an interferer even when both the target and an interferer are simultaneously active at a given time-Frequency Bin. As a switching criterion, selection of minimum value of the outputs of the all beamformers at each time-Frequency Bin is investigated. Additionally, another method using direction of arrival estimation is also investigated. In experiments, we confirmed that the proposed methods were superior to conventional time-Frequency masking and fixed beamforming in the performance of speech enhancement.

Nobutaka Ono - One of the best experts on this subject based on the ideXlab platform.

  • time Frequency Bin wise switching of minimum variance distortionless response beamformer for underdetermined situations
    International Conference on Acoustics Speech and Signal Processing, 2019
    Co-Authors: Kouei Yamaoka, Nobutaka Ono, Shoji Makino, Takeshi Yamada
    Abstract:

    In this paper, we present a speech enhancement method using two microphones in underdetermined situations. Time-Frequency (TF) Binary masking is a conventional method of enhancing speech in underdetermined situations by appropriately multiplying each TF component by zero or one. Extending this method, we previously proposed a new method called the time-Frequency-Bin-wise switching (TFS) beamformer. In this method, we switch multiple preconstructed beamformers in each TF Bin, each of which suppresses a particular interferer. However, this method requires the pre-estimation of beamformer filter coefficients using the target-active period and interferer-wise-active periods as the prior information. In this paper, to overcome this limitation, we formulate the switching and construction of spatial filters as a joint optimization problem, which can be understood from two viewpoints: the clustering of the most dominant interferer signal in each TF Bin and the construction of a minimum variance distortionless response beamformer using such Bins. In an experiment, we confirmed that the proposed method was superior to conventional TF masking and fixed beamforming during speech enhancement regardless of the direction of interferers.

  • ICASSP - Time-Frequency-Bin-wise Switching of Minimum Variance Distortionless Response Beamformer for Underdetermined Situations
    ICASSP 2019 - 2019 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2019
    Co-Authors: Kouei Yamaoka, Nobutaka Ono, Shoji Makino, Takeshi Yamada
    Abstract:

    In this paper, we present a speech enhancement method using two microphones in underdetermined situations. Time-Frequency (TF) Binary masking is a conventional method of enhancing speech in underdetermined situations by appropriately multiplying each TF component by zero or one. Extending this method, we previously proposed a new method called the time-Frequency-Bin-wise switching (TFS) beamformer. In this method, we switch multiple preconstructed beamformers in each TF Bin, each of which suppresses a particular interferer. However, this method requires the pre-estimation of beamformer filter coefficients using the target-active period and interferer-wise-active periods as the prior information. In this paper, to overcome this limitation, we formulate the switching and construction of spatial filters as a joint optimization problem, which can be understood from two viewpoints: the clustering of the most dominant interferer signal in each TF Bin and the construction of a minimum variance distortionless response beamformer using such Bins. In an experiment, we confirmed that the proposed method was superior to conventional TF masking and fixed beamforming during speech enhancement regardless of the direction of interferers.

  • time Frequency Bin wise beamformer selection and masking for speech enhancement in underdetermined noisy scenarios
    European Signal Processing Conference, 2018
    Co-Authors: Kouei Yamaoka, Andreas Brendel, Nobutaka Ono, Shoji Makino, Michael Buerger, Takeshi Yamada, Walter Kellermann
    Abstract:

    In this paper, we present a speech enhancement method using two microphones for underdetermined situations. A conventional speech enhancement method for underdetermined situations is time-Frequency masking, where speech is enhanced by multiplying zero or one to each time-Frequency component appropriately. Extending this method, we switch multiple preconstructed beamformers at each time-Frequency Bin, each of which suppresses a particular interferer. This method can suppress an interferer even when both the target and an interferer are simultaneously active at a given time-Frequency Bin. As a switching criterion, selection of minimum value of the outputs of the all beamformers at each time-Frequency Bin is investigated. Additionally, another method using direction of arrival estimation is also investigated. In experiments, we confirmed that the proposed methods were superior to conventional time-Frequency masking and fixed beamforming in the performance of speech enhancement.

  • EUSIPCO - Time-Frequency-Bin-Wise Beamformer Selection and Masking for Speech Enhancement in Underdetermined Noisy Scenarios
    2018 26th European Signal Processing Conference (EUSIPCO), 2018
    Co-Authors: Kouei Yamaoka, Andreas Brendel, Nobutaka Ono, Shoji Makino, Michael Buerger, Takeshi Yamada, Walter Kellermann
    Abstract:

    In this paper, we present a speech enhancement method using two microphones for underdetermined situations. A conventional speech enhancement method for underdetermined situations is time-Frequency masking, where speech is enhanced by multiplying zero or one to each time-Frequency component appropriately. Extending this method, we switch multiple preconstructed beamformers at each time-Frequency Bin, each of which suppresses a particular interferer. This method can suppress an interferer even when both the target and an interferer are simultaneously active at a given time-Frequency Bin. As a switching criterion, selection of minimum value of the outputs of the all beamformers at each time-Frequency Bin is investigated. Additionally, another method using direction of arrival estimation is also investigated. In experiments, we confirmed that the proposed methods were superior to conventional time-Frequency masking and fixed beamforming in the performance of speech enhancement.

Walter Kellermann - One of the best experts on this subject based on the ideXlab platform.

  • time Frequency Bin wise beamformer selection and masking for speech enhancement in underdetermined noisy scenarios
    European Signal Processing Conference, 2018
    Co-Authors: Kouei Yamaoka, Andreas Brendel, Nobutaka Ono, Shoji Makino, Michael Buerger, Takeshi Yamada, Walter Kellermann
    Abstract:

    In this paper, we present a speech enhancement method using two microphones for underdetermined situations. A conventional speech enhancement method for underdetermined situations is time-Frequency masking, where speech is enhanced by multiplying zero or one to each time-Frequency component appropriately. Extending this method, we switch multiple preconstructed beamformers at each time-Frequency Bin, each of which suppresses a particular interferer. This method can suppress an interferer even when both the target and an interferer are simultaneously active at a given time-Frequency Bin. As a switching criterion, selection of minimum value of the outputs of the all beamformers at each time-Frequency Bin is investigated. Additionally, another method using direction of arrival estimation is also investigated. In experiments, we confirmed that the proposed methods were superior to conventional time-Frequency masking and fixed beamforming in the performance of speech enhancement.

  • EUSIPCO - Time-Frequency-Bin-Wise Beamformer Selection and Masking for Speech Enhancement in Underdetermined Noisy Scenarios
    2018 26th European Signal Processing Conference (EUSIPCO), 2018
    Co-Authors: Kouei Yamaoka, Andreas Brendel, Nobutaka Ono, Shoji Makino, Michael Buerger, Takeshi Yamada, Walter Kellermann
    Abstract:

    In this paper, we present a speech enhancement method using two microphones for underdetermined situations. A conventional speech enhancement method for underdetermined situations is time-Frequency masking, where speech is enhanced by multiplying zero or one to each time-Frequency component appropriately. Extending this method, we switch multiple preconstructed beamformers at each time-Frequency Bin, each of which suppresses a particular interferer. This method can suppress an interferer even when both the target and an interferer are simultaneously active at a given time-Frequency Bin. As a switching criterion, selection of minimum value of the outputs of the all beamformers at each time-Frequency Bin is investigated. Additionally, another method using direction of arrival estimation is also investigated. In experiments, we confirmed that the proposed methods were superior to conventional time-Frequency masking and fixed beamforming in the performance of speech enhancement.