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Dereverberation methods based on coherent-to-diffuse power ratio (CDR) estimates exploit the spatial properties of signals to suppress late reverberation components. Naturally, the quality of the CDR estimate has a major effect on the quality of the dereverberated signals. This paper presents a statistical study of the performance of state-of-the-art CDR estimators under a Gaussian signal model. The...
We propose a spatial diffuseness feature for deep neural network (DNN)-based automatic speech recognition to improve recognition accuracy in reverberant and noisy environments. The feature is computed in real-time from multiple microphone signals without requiring knowledge or estimation of the direction of arrival, and represents the relative amount of diffuse noise in each time and frequency bin...
In this paper, we apply a blind signal extraction scheme for two microphones to the problem of dereverberation. The system consists of a blocking matrix that cancels the target signal as well as reverberated components up to a certain time lag, thus obtaining a reference not only for noise and interference, but also for late reverberation, which can then be suppressed with a Wiener filter, while leaving...
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