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Data-driven statistical modelling of room impulse responses in the power domain

机译:功率域中房间脉冲响应的数据驱动统计建模

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Having an accurate statistical model of room impulse responses with a minimum number of parameters is of crucial importance in applications such as dereverberation. In this paper, by taking into account the behaviour of the early reflections, we extend the widely-used statistical model proposed by Polack. The squared room impulse response is modelled in each frequency band as the realisation of a stochastic process weighted by the sum of two exponential decays. Room-independent values for the new parameters involved are obtained through analysis of several room impulse response databases, and validation of the model in the likelihood sense is performed.
机译:具有最少参数的房间冲激响应的精确统计模型在诸如混响去除的应用中至关重要。在本文中,通过考虑早期反射的行为,我们扩展了Polack提出的广泛使用的统计模型。平方房间冲激响应在每个频带中建模为随机过程的实现,该过程由两个指数衰减之和加权。通过分析几个房间脉冲响应数据库,获得涉及新参数的与房间无关的值,并在似然意义上对模型进行验证。

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