Abstract
A blind source separation technique in noisy environment is proposed based on spectral masking and minimum variance distortionless response (MVDR) beamformer (BF). Formulating the maximum-likelihood of the direction of arrivals (DOAs) and solving it using the expectation-maximization, enables the extraction of the masks and the associated MVDR BF as byproducts. The proposed direction of arrival estimator uses an explicit model of the ambient noise, which results in more accurate DOA estimates and good blind source separation. The experimental study demonstrates both the DOA estimation results and the separation capabilities of the proposed method using real room impulse responses in diffuse noise field.
Original language | English |
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Title of host publication | 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509021529 |
DOIs | |
State | Published - 4 Jan 2017 |
Event | 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 - Eilat, Israel Duration: 16 Nov 2016 → 18 Nov 2016 |
Publication series
Name | 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 |
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Conference
Conference | 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 |
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Country/Territory | Israel |
City | Eilat |
Period | 16/11/16 → 18/11/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.