相干扩散功率比估计用于混响消除
Coherent-to-Diffuse Power Ratio Estimation for Dereverberation
摘要：
从两个全向麦克风之间的测量空间相干性的时间和频率相关的相干扩散功率比（CDR）的估计进行了研究。已知的CDR估计制定在一个共同的框架，说明了使用几何解释在复杂的平面，并调查相对于偏见和鲁棒性对模型误差。提出了几种新的无偏CDR估计，它表明，知识的目标源的到达方向（DOA）或噪声场的相干性是足够的无偏CDR估计。CDR估计去混响的应用模型的有效性进行了研究，使用测量和模拟的脉冲响应。一个CDR为基础的去混响系统，并使用基于信号的质量措施，以及自动语音识别的准确性进行评估。结果表明，所提出的无偏估计有一个实际的优势，现有的估计，并建议DOA无关的估计器可以用于有效的盲去混响。
英文摘要：
The estimation of the time- and frequency-dependent coherent-to-diffuse power ratio (CDR) from the measured spatial coherence between two omnidirectional microphones is investigated. Known CDR estimators are formulated in a common framework, illustrated using a geometric interpretation in the complex plane, and investigated with respect to bias and robustness towards model errors. Several novel unbiased CDR estimators are proposed, and it is shown that knowledge of either the direction of arrival (DOA) of the target source or the coherence of the noise field is sufficient for unbiased CDR estimation. The validity of the model for the application of CDR estimates to dereverberation is investigated using measured and simulated impulse responses. A CDR-based dereverberation system is presented and evaluated using signal-based quality measures as well as automatic speech recognition accuracy. The results show that the proposed unbiased estimators have a practical advantage over existing estimators, and that the proposed DOA-independent estimator can be used for effective blind dereverberation.
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