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Signal-to-reverberant ratio estimation based on the complex spatial coherence between omnidirectional microphones

机译:基于全向麦克风之间复杂空间相干性的信噪比估计

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The signal-to-reverberant ratio (SRR) is an important parameter in several applications such as speech enhancement, dereverberation, and parametric spatial audio coding. In this contribution, an SRR estimator is derived from the direction-of-arrival dependent complex spatial coherence function computed via two omnidirectional microphones. It is shown that by employing a computationally inexpensive DOA estimator, the proposed SRR estimator outperforms existing approaches.
机译:信噪比(SRR)是语音增强,去混响和参数空间音频编码等几种应用中的重要参数。在此贡献中,从通过两个全向麦克风计算的到达方向相关的复杂空间相干函数中得出了SRR估计器。结果表明,通过采用计算成本低廉的DOA估计器,所提出的SRR估计器优于现有方法。

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