| Paper: | AE-L3.3 | ||
| Session: | Microphone Array Signal Processing | ||
| Time: | Wednesday, May 19, 10:10 - 10:30 | ||
| Presentation: | Lecture | ||
| Topic: | Audio and Electroacoustics: Loudspeaker and Microphone Array Signal Processing | ||
| Title: | STOCHASTIC GRADIENT IMPLEMENTATION OF SPATIALLY PRE-PROCESSED MULTI-CHANNEL WIENER FILTERING FOR NOISE REDUCTION IN HEARING AIDS | ||
| Authors: | Ann Spriet; Katholieke Universiteit Leuven | ||
| Marc Moonen; Katholieke Universiteit Leuven | |||
| Jan Wouters; Katholieke Universiteit Leuven | |||
| Abstract: | Recently, a generalized noise reduction scheme has been proposed, called the Spatially Pre-processed Speech Distortion Weighted Multi-channel Wiener Filter (SP-SDW-MWF). Compared to GSC with Quadratic Inequality Constraint (QIC-GSC), the SP-SDW-MWF reduces more noise, for a given maximum speech distortion level. In this paper, we develop time-domain and frequency-domain stochastic gradient implementations of the SP-SDW-MWF. Experimental results with a hearing aid show that the proposed stochastic gradient algorithm preserves the benefit of the SP-SDW-MWF over the QIC-GSC, while its computational cost is comparable to the NLMS based Scaled Projection Algorithm (SPA) for QIC-GSC. | ||
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