--- _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' ...