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Title: Performance improvement of higher-order ICA using lerning period detection based on closed-form second-order ICA and kurtosis
Authors: Yuuki Fujihara
Yu Takahashi
Shigeki Miyabe
Hiroshi Saruwatari
Kiyohiro Shikano
Akira Tanaka
Keywords: Independent component analysis
blind source separation
voice activity detection
closed-form solution
Issue Date: Sep-2008
Article Number: 9077
Abstract: A hands-free system with conventional independent component analysis (ICA) should update the separation filter constantly to follow the hourly environment change. However, when the separation-filter is updated in the period where the user absent, ICA often yields an undesired separation filter. In this paper, we propose a novel algorithm of kurtosis-based voice activity detection (VAD) for an appropriate ICA optimization. In this algorithm, first, closed-form 2nd-order ICA (SO-ICA) is performed for providing the roughly separated signals, and based on the kurtosis of their signals, VAD is processed. Next, when the current time period is voiced block, the higher-order ICA's re-optimization is applied using the previously obtained SO-ICA's solution as the initial filter; this results in a fast and high convergence. The effectiveness of the proposed method is shown in a simulation experiment for blind spatial subtraction array with the proposed method.
Description: IWAENC2008: the 11th International Workshop on Acoustic Echo and Noise Control, September 14-17, 2008, Seattle, Washington USA.
Text Version: Publisher
Appears in Collections:情報科学研究科 / Graduate School of Information Science

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