--- _id: '11913' abstract: - lang: eng text: In this paper we propose to employ directional statistics in a complex vector space to approach the problem of blind speech separation in the presence of spatially correlated noise. We interpret the values of the short time Fourier transform of the microphone signals to be draws from a mixture of complex Watson distributions, a probabilistic model which naturally accounts for spatial aliasing. The parameters of the density are related to the a priori source probabilities, the power of the sources and the transfer function ratios from sources to sensors. Estimation formulas are derived for these parameters by employing the Expectation Maximization (EM) algorithm. The E-step corresponds to the estimation of the source presence probabilities for each time-frequency bin, while the M-step leads to a maximum signal-to-noise ratio (MaxSNR) beamformer in the presence of uncertainty about the source activity. Experimental results are reported for an implementation in a generalized sidelobe canceller (GSC) like spatial beamforming configuration for 3 speech sources with significant coherent noise in reverberant environments, demonstrating the usefulness of the novel modeling framework. author: - first_name: Dang Hai full_name: Tran Vu, Dang Hai last_name: Tran Vu - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Tran Vu DH, Haeb-Umbach R. Blind speech separation employing directional statistics in an Expectation Maximization framework. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010). ; 2010:241-244. doi:10.1109/ICASSP.2010.5495994' apa: Tran Vu, D. H., & Haeb-Umbach, R. (2010). Blind speech separation employing directional statistics in an Expectation Maximization framework. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010) (pp. 241–244). https://doi.org/10.1109/ICASSP.2010.5495994 bibtex: '@inproceedings{Tran Vu_Haeb-Umbach_2010, title={Blind speech separation employing directional statistics in an Expectation Maximization framework}, DOI={10.1109/ICASSP.2010.5495994}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)}, author={Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2010}, pages={241–244} }' chicago: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing Directional Statistics in an Expectation Maximization Framework.” In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 241–44, 2010. https://doi.org/10.1109/ICASSP.2010.5495994. ieee: D. H. Tran Vu and R. Haeb-Umbach, “Blind speech separation employing directional statistics in an Expectation Maximization framework,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010, pp. 241–244. mla: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing Directional Statistics in an Expectation Maximization Framework.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010, pp. 241–44, doi:10.1109/ICASSP.2010.5495994. short: 'D.H. Tran Vu, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010, pp. 241–244.' date_created: 2019-07-12T05:30:40Z date_updated: 2022-01-06T06:51:12Z department: - _id: '54' doi: 10.1109/ICASSP.2010.5495994 keyword: - array signal processing - blind source separation - blind speech separation - complex vector space - complex Watson distribution - directional statistics - expectation-maximisation algorithm - expectation maximization algorithm - Fourier transform - Fourier transforms - generalized sidelobe canceller - interference suppression - maximum signal-to-noise ratio beamformer - microphone signal - probabilistic model - spatial aliasing - spatial beamforming configuration - speech enhancement - statistical distributions language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2010/DaHa10-2.pdf oa: '1' page: 241-244 publication: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010) status: public title: Blind speech separation employing directional statistics in an Expectation Maximization framework type: conference user_id: '44006' year: '2010' ... --- _id: '11935' abstract: - lang: eng text: The generalized sidelobe canceller by Griffith and Jim is a robust beamforming method to enhance a desired (speech) signal in the presence of stationary noise. Its performance depends to a high degree on the construction of the blocking matrix which produces noise reference signals for the subsequent adaptive interference canceller. Especially in reverberated environments the beamformer may suffer from signal leakage and reduced noise suppression. In this paper a new blocking matrix is proposed. It is based on a generalized eigenvalue problem whose solution provides an indirect estimation of the transfer functions from the source to the sensors. The quality of the new generalized eigenvector blocking matrix is studied in simulated rooms with different reverberation times and is compared to alternatives proposed in the literature. author: - first_name: Ernst full_name: Warsitz, Ernst last_name: Warsitz - first_name: Alexander full_name: Krueger, Alexander last_name: Krueger - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Warsitz E, Krueger A, Haeb-Umbach R. Speech enhancement with a new generalized eigenvector blocking matrix for application in a generalized sidelobe canceller. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008). ; 2008:73-76. doi:10.1109/ICASSP.2008.4517549' apa: Warsitz, E., Krueger, A., & Haeb-Umbach, R. (2008). Speech enhancement with a new generalized eigenvector blocking matrix for application in a generalized sidelobe canceller. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008) (pp. 73–76). https://doi.org/10.1109/ICASSP.2008.4517549 bibtex: '@inproceedings{Warsitz_Krueger_Haeb-Umbach_2008, title={Speech enhancement with a new generalized eigenvector blocking matrix for application in a generalized sidelobe canceller}, DOI={10.1109/ICASSP.2008.4517549}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008)}, author={Warsitz, Ernst and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2008}, pages={73–76} }' chicago: Warsitz, Ernst, Alexander Krueger, and Reinhold Haeb-Umbach. “Speech Enhancement with a New Generalized Eigenvector Blocking Matrix for Application in a Generalized Sidelobe Canceller.” In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), 73–76, 2008. https://doi.org/10.1109/ICASSP.2008.4517549. ieee: E. Warsitz, A. Krueger, and R. Haeb-Umbach, “Speech enhancement with a new generalized eigenvector blocking matrix for application in a generalized sidelobe canceller,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), 2008, pp. 73–76. mla: Warsitz, Ernst, et al. “Speech Enhancement with a New Generalized Eigenvector Blocking Matrix for Application in a Generalized Sidelobe Canceller.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), 2008, pp. 73–76, doi:10.1109/ICASSP.2008.4517549. short: 'E. Warsitz, A. Krueger, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), 2008, pp. 73–76.' date_created: 2019-07-12T05:31:06Z date_updated: 2022-01-06T06:51:12Z department: - _id: '54' doi: 10.1109/ICASSP.2008.4517549 keyword: - adaptive interference canceller - adaptive signal processing - array signal processing - beamforming method - eigenvalues and eigenfunctions - generalized eigenvector blocking matrix - generalized sidelobe canceller - interference suppression - matrix algebra - noise suppression - speech enhancement - transfer function estimation - transfer functions language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2008/WaKrHa08.pdf oa: '1' page: 73-76 publication: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008) status: public title: Speech enhancement with a new generalized eigenvector blocking matrix for application in a generalized sidelobe canceller type: conference user_id: '44006' year: '2008' ...