DocumentCode :
3316543
Title :
Real-Time Implementation of New Adaptive Beamformer Sensor Array For Speech Enhancement in Hearing Aid
Author :
Mohammed, Jafar Ramadhan ; Singh, Gurnam
Author_Institution :
Univ. of Mosul, Mosul
fYear :
2007
fDate :
3-6 Dec. 2007
Firstpage :
607
Lastpage :
611
Abstract :
The objective of this paper is to provide improved real-time noise canceling performance while keeping the high quality of enhanced speech by using new robust adaptive beamformer. The proposed beamformer uses a new adaptive blocking matrix, which consists of linear prediction error filters (LPEFs). It also employ a multi-channel noise canceller with adaptive noise estimation filters (ANEFs) used for inverse modeling. The entire proposed system has been implemented in real-time in a real environment using National Instruments NI- PXI-1042Q controller system and data acquisition card NI-PXI-4472. Practical results show that the proposed beamformer produces results that are significantly favorable than standard GSC beamformer.
Keywords :
adaptive filters; array signal processing; handicapped aids; medical signal processing; sensor arrays; signal denoising; speech enhancement; NI-PXI- 4472; National Instruments NI- PXI-1042Q controller system; adaptive beamformer sensor array; adaptive blocking matrix; adaptive noise estimation filters; data acquisition card; hearing aid; linear prediction error filters; noise canceling performance; speech enhancement; Adaptive arrays; Adaptive filters; Auditory system; Inverse problems; Noise cancellation; Noise robustness; Nonlinear filters; Sensor arrays; Speech enhancement; Working environment noise; LabVIEW; Sensor arrays; adaptive beamformer; linear prediction error filters; noise reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information, 2007. ISSNIP 2007. 3rd International Conference on
Conference_Location :
Melbourne, Qld.
Print_ISBN :
978-1-4244-1501-4
Electronic_ISBN :
978-1-4244-1502-1
Type :
conf
DOI :
10.1109/ISSNIP.2007.4496912
Filename :
4496912
Link To Document :
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