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A method of howling detection in presence of speech signal

机译:在语音信号存在下的啸声检测方法

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Hearing aid users suffer from howling sound caused by acoustic coupling between the loudspeaker and the microphone(s) of this device. It is crucial to detect and eliminate the howling before it causes serious irritation to the hearing aid user. This study presents a multiple-feature method which uses voice activity detection (VAD) algorithm to reduce false alarm probability. Experimental results compare the performance of the proposed method with three conventional howling detection techniques in terms of detection probability, false alarm probability, and computational complexity. The proposed method possesses lower false alarm probability and less computational complexity compared to the other methods.
机译:助听器用户会遭受扬声器和此设备的麦克风之间的声耦合引起的啸叫声。在啸叫对助听器使用者造成严重刺激之前,检测并消除啸叫至关重要。这项研究提出了一种多特征方法,该方法使用语音活动检测(VAD)算法来降低误报概率。实验结果从检测概率,虚警概率和计算复杂度方面比较了该方法与三种常规啸叫检测技术的性能。与其他方法相比,该方法具有较低的虚警概率和较低的计算复杂度。

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