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Electrical Engineering and Systems Science > Audio and Speech Processing
Title: Directional Sparse Filtering using Weighted Lehmer Mean for Blind Separation of Unbalanced Speech Mixtures
(Submitted on 30 Jan 2021 (v1), last revised 14 May 2021 (this version, v3))
Abstract: In blind source separation of speech signals, the inherent imbalance in the source spectrum poses a challenge for methods that rely on single-source dominance for the estimation of the mixing matrix. We propose an algorithm based on the directional sparse filtering (DSF) framework that utilizes the Lehmer mean with learnable weights to adaptively account for source imbalance. Performance evaluation in multiple real acoustic environments show improvements in source separation compared to the baseline methods.
Submission history
From: Karn Watcharasupat [view email][v1] Sat, 30 Jan 2021 09:36:36 GMT (46kb)
[v2] Tue, 2 Feb 2021 02:55:41 GMT (45kb)
[v3] Fri, 14 May 2021 15:34:51 GMT (46kb)
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