Speech dereverberation based on a recorded handclap

A. Tsilfidis, Eleftheria Georganti, Elias K. Kokkinis, J. Mourjopoulos
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引用次数: 6

Abstract

A semi-blind framework for the suppression of late speech reverberation is presented. The method is based on spectral subtraction and utilizes a simple recorded handclap to estimate the Power Spectral Density (PSD) of late reverberation. A statistical analysis of measured Room Impulse Responses (RIRs) and recorded handclaps demonstrates the sufficiency of the above estimation. Dereverberation results show that the proposed technique achieves significant reverberation suppression at multiple speaker positions in each room without compromising the quality of the estimated signals.
基于录制的鼓掌的语音去噪
提出了一种抑制后期语音混响的半盲框架。该方法基于谱减法,利用简单的录制鼓掌来估计后期混响的功率谱密度(PSD)。对测量的房间脉冲响应(RIRs)和记录的鼓掌进行统计分析,证明了上述估计的充分性。去混响结果表明,该方法在不影响估计信号质量的情况下,在每个房间的多个扬声器位置实现了显著的混响抑制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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