--- _id: '11927' abstract: - lang: eng text: Maximizing the output signal-to-noise ratio (SNR) of a sensor array in the presence of spatially colored noise leads to a generalized eigenvalue problem. While this approach has extensively been employed in narrowband (antenna) array beamforming, it is typically not used for broadband (microphone) array beamforming due to the uncontrolled amount of speech distortion introduced by a narrowband SNR criterion. In this paper, we show how the distortion of the desired signal can be controlled by a single-channel post-filter, resulting in a performance comparable to the generalized minimum variance distortionless response beamformer, where arbitrary transfer functions relate the source and the microphones. Results are given both for directional and diffuse noise. A novel gradient ascent adaptation algorithm is presented, and its good convergence properties are experimentally revealed by comparison with alternatives from the literature. A key feature of the proposed beamformer is that it operates blindly, i.e., it neither requires knowledge about the array geometry nor an explicit estimation of the transfer functions from source to sensors or the direction-of-arrival. author: - first_name: Ernst full_name: Warsitz, Ernst last_name: Warsitz - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: Warsitz E, Haeb-Umbach R. Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition. IEEE Transactions on Audio, Speech, and Language Processing. 2007;15(5):1529-1539. doi:10.1109/TASL.2007.898454 apa: Warsitz, E., & Haeb-Umbach, R. (2007). Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition. IEEE Transactions on Audio, Speech, and Language Processing, 15(5), 1529–1539. https://doi.org/10.1109/TASL.2007.898454 bibtex: '@article{Warsitz_Haeb-Umbach_2007, title={Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition}, volume={15}, DOI={10.1109/TASL.2007.898454}, number={5}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Warsitz, Ernst and Haeb-Umbach, Reinhold}, year={2007}, pages={1529–1539} }' chicago: 'Warsitz, Ernst, and Reinhold Haeb-Umbach. “Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition.” IEEE Transactions on Audio, Speech, and Language Processing 15, no. 5 (2007): 1529–39. https://doi.org/10.1109/TASL.2007.898454.' ieee: E. Warsitz and R. Haeb-Umbach, “Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, no. 5, pp. 1529–1539, 2007. mla: Warsitz, Ernst, and Reinhold Haeb-Umbach. “Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition.” IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, no. 5, 2007, pp. 1529–39, doi:10.1109/TASL.2007.898454. short: E. Warsitz, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 15 (2007) 1529–1539. date_created: 2019-07-12T05:30:57Z date_updated: 2022-01-06T06:51:12Z department: - _id: '54' doi: 10.1109/TASL.2007.898454 intvolume: ' 15' issue: '5' keyword: - acoustic signal processing - arbitrary transfer function - array signal processing - blind acoustic beamforming - direction-of-arrival - direction-of-arrival estimation - eigenvalues and eigenfunctions - generalized eigenvalue decomposition - gradient ascent adaptation algorithm - microphone arrays - microphones - narrowband array beamforming - sensor array - single-channel post-filter - spatially colored noise - transfer functions language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2007/WaHa07.pdf oa: '1' page: 1529-1539 publication: IEEE Transactions on Audio, Speech, and Language Processing status: public title: Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition type: journal_article user_id: '44006' volume: 15 year: '2007' ... --- _id: '11930' abstract: - lang: eng text: For human-machine interfaces in distant-talking environments multichannel signal processing is often employed to obtain an enhanced signal for subsequent processing. In this paper we propose a novel adaptation algorithm for a filter-and-sum beamformer to adjust the coefficients of FIR filters to changing acoustic room impulses, e.g. due to speaker movement. A deterministic and a stochastic gradient ascent algorithm are derived from a constrained optimization problem, which iteratively estimates the eigenvector corresponding to the largest eigenvalue of the cross power spectral density of the microphone signals. The method does not require an explicit estimation of the speaker location. The experimental results show fast adaptation and excellent robustness of the proposed algorithm. author: - first_name: Ernst full_name: Warsitz, Ernst last_name: Warsitz - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Warsitz E, Haeb-Umbach R. Acoustic filter-and-sum beamforming by adaptive principal component analysis. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005). Vol 4. ; 2005:iv/797-iv/800 Vol. 4. doi:10.1109/ICASSP.2005.1416129' apa: Warsitz, E., & Haeb-Umbach, R. (2005). Acoustic filter-and-sum beamforming by adaptive principal component analysis. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005) (Vol. 4, p. iv/797-iv/800 Vol. 4). https://doi.org/10.1109/ICASSP.2005.1416129 bibtex: '@inproceedings{Warsitz_Haeb-Umbach_2005, title={Acoustic filter-and-sum beamforming by adaptive principal component analysis}, volume={4}, DOI={10.1109/ICASSP.2005.1416129}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005)}, author={Warsitz, Ernst and Haeb-Umbach, Reinhold}, year={2005}, pages={iv/797-iv/800 Vol. 4} }' chicago: Warsitz, Ernst, and Reinhold Haeb-Umbach. “Acoustic Filter-and-Sum Beamforming by Adaptive Principal Component Analysis.” In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), 4:iv/797-iv/800 Vol. 4, 2005. https://doi.org/10.1109/ICASSP.2005.1416129. ieee: E. Warsitz and R. Haeb-Umbach, “Acoustic filter-and-sum beamforming by adaptive principal component analysis,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), 2005, vol. 4, p. iv/797-iv/800 Vol. 4. mla: Warsitz, Ernst, and Reinhold Haeb-Umbach. “Acoustic Filter-and-Sum Beamforming by Adaptive Principal Component Analysis.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), vol. 4, 2005, p. iv/797-iv/800 Vol. 4, doi:10.1109/ICASSP.2005.1416129. short: 'E. Warsitz, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), 2005, p. iv/797-iv/800 Vol. 4.' date_created: 2019-07-12T05:31:00Z date_updated: 2022-01-06T06:51:12Z department: - _id: '54' doi: 10.1109/ICASSP.2005.1416129 intvolume: ' 4' keyword: - acoustic filter-and-sum beamforming - acoustic room impulses - acoustic signal processing - adaptive principal component analysis - adaptive signal processing - architectural acoustics - constrained optimization problem - cross power spectral density - deterministic algorithm - deterministic algorithms - distant-talking environments - eigenvalues and eigenfunctions - eigenvector - enhanced signal - filter-and-sum beamformer - FIR filter coefficients - FIR filter coefficients - FIR filters - gradient methods - human-machine interfaces - iterative estimation - iterative methods - largest eigenvalue - microphone signals - multichannel signal processing - optimisation - principal component analysis - spectral analysis - stochastic gradient ascent algorithm - stochastic processes language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2005/WaHa05.pdf oa: '1' page: iv/797-iv/800 Vol. 4 publication: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005) status: public title: Acoustic filter-and-sum beamforming by adaptive principal component analysis type: conference user_id: '44006' volume: 4 year: '2005' ...