The speech intelligibility of indoor public address systems is degraded by reverberation and background noise. This paper proposes a preprocessing method that combines speech enhancement and inverse filtering to improve the speech intelligibility in such environments. An energy redistribution speech enhancement method was modified for use in reverberation conditions, and an auditory-model-based fast inverse filter was designed to achieve better dereverberation performance. An experiment was performed in various noisy, reverberant environments, and the test results verified the stability and effectiveness of the proposed method. In addition, a listening test was carried out to compare the performance of different algorithms subjectively. The objective and subjective evaluation results reveal that the speech intelligibility is significantly improved by the proposed method.

中文翻译：

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基于语音增强和逆滤波的嘈杂混响环境语音清晰度提升

室内公共广播系统的语音清晰度会因混响和背景噪声而降低。本文提出了一种将语音增强和逆滤波相结合的预处理方法，以提高此类环境下的语音清晰度。修改了能量再分配语音增强方法以用于混响条件，并设计了基于听觉模型的快速逆滤波器以实现更好的去混响性能。在各种嘈杂、混响环境中进行了实验，测试结果验证了所提方法的稳定性和有效性。此外，还进行了听力测试，以主观比较不同算法的性能。