一种低虚警概率的啸叫检测方法

doi:10.3969/j.issn.1001-2400.2017.04.018

Abstract

Abstract:

Howling detection is the key of the notch-filter-based howling suppression algorithm. However, the traditional howling detection method with a problem of high probability of false alarm will lead to speech distortion easily. So a novel howling detection method based on long-term signal variability at the specific frequency band is proposed in this paper. First, we pick the candidate howling competent by means of extracting the power spectrum peak; then, we select several bins on both sides of the candidate howling competent as the target specific frequency band; lastly, whether howling occurs or not depends on the value of long-term signal variability at the target spectral frequency band. Simulation results show that compared with the traditional howling detection method, the probability of false alarm can be controlled more effectively while keeping a high probability of detection by the proposed method.

Key words: howling detection, long-term signal variability, specific frequency band, notch-filter, acoustic feedback control

ZHANG Tao;LI Kangkang;JIAO Haiquan. Low false alarm probability howling detection method[J].Journal of Xidian University, 2017, 44(4): 100-105.

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Low false alarm probability howling detection method

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