基于波束形成与多参考源噪声对消的语音增强算法

摘要

This paper presents a microphone array with delay and sums beamforming (DASB) while using an adaptive noise can-celler (ANC) with reference microphone array to suppress coherent as well as incoherent noise in disturbed speech signals. The algorithm does not rely on any signal model and dispenses with assumption of statistical properties of noise. It can be seasoned with changes of background and used for target speech recognition. The algorithm is of good real-time performance and robust-ness. The simulation results demonstrate that the proposed method works well in the environment with different noise.%通过传声器阵列采用波束形成技术采集语音信号,同时使用参考传声器获得背景噪声信号,本文提出一种基于波束形成和自适应多参考噪声对消的语音增强算法.该算法不依赖任何信号模型且无需对噪声信号的统计特性进行先验假设,可以适应背景噪声的突然改变,同时具有良好的实时性和鲁棒性.可广泛应用于复杂噪声环境下目标语音识别,仿真结果表明了该算法的有效性.