A Soft-Decision Adaptation Mode Controller for an Efficient Frequency-Domain Generalized Sidelobe Canceller

In this paper, we propose a new soft-decision adaptation mode controller (SD-AMC) for frequency domain generalized sidelobe canceller (GSC) as a speech enhancement system. Contrarily to conventional systems that update filter coefficients in a hard-decision manner using voice activity detection (VAD...

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Bibliographic Details
Main Authors: Min-Seok Choi, Chang-Hyun Baik, Young-Cheol Park, Hong-Goo Kang
Format: Conference Proceeding
Language:English
Subjects:
Adaptation mode controller
Adaptive filter
Adaptive filters
Control systems
Frequency domain analysis
Generalized sidelobe canceller
Logic
Microphone array
Noise robustness
Signal to noise ratio
Speech enhancement
Speech recognition
System performance
Working environment noise
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Description
Summary:In this paper, we propose a new soft-decision adaptation mode controller (SD-AMC) for frequency domain generalized sidelobe canceller (GSC) as a speech enhancement system. Contrarily to conventional systems that update filter coefficients in a hard-decision manner using voice activity detection (VAD), the proposed method flexibly controls the step-sizes of adaptive filters depending on the probability of speech presence in each frequency bin. Therefore, it further improves the system performance for various environments without much consideration on noise type and signal to noise ratio (SNR) of input signal. It also improves the robustness of GSC system by avoiding the miss-classification error by the hard-decision logic. Experimental results with speech recognition systems verify that the SD-AMC shows higher performance than ideally designed hard-decision approaches.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2007.367214