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In this paper, we present a time-frequency (TF)-dependent a priori speech absence probability (SAP) estimator utilizing the magnitude square coherence (MSC) between two microphone signals. It is shown that the normalized SNR can be numerically computed from the MSC by solving a quadratic equation. Based on the fact that the normalized SNR is bounded between(More)
In this paper, we present an unsupervised noise PSD estimation algorithm for binaural hearing aids in a time-varying diffuse noise field. It is shown that the noise PSD can be obtained from the eigenvalues of the input covariance matrix together with the noise coherence function effective at low frequencies. To reduce the estimation bias due to fast(More)
In this paper, a priori speech absence probability (SAP) estimator is proposed for accurately obtaining the speech presence probability (SPP) in a complex noise field. Unlike previous techniques, the proposed estimator considers a complex noise sound field where the target speech is corrupted by a coherent interference with diffuse noise around. The(More)
In this paper a new noise reduction algorithm for binaural hearing aids is proposed. This algorithm is capable of suppressing both nonstationary diffuse noise and unknown directional interferences without distorting the directional cues. For the estimation of the diffuse noise power spectral density (PSD), we utilize the eigenstructure of the 2 × 2 input(More)
The conventional target power density spectrum (PSD) estimation methods based on the signal prediction inherently produce a biased target PSD because of irrelevant assumptions for the noisy environment. In this paper, an unbiased target PSD is obtained by removing the effect of diffuse noise on the prediction filter. In addition, by on-line estimation of(More)
In this paper, a coherence-based noise reduction algorithm is proposed for a dual-channel speech enhancement system operating in a complex noise environment. The spatial coherence between two omnidirectional microphones is one of the crucial information for the dual-channel speech enhancement system. In this paper, we introduce a new model of coherence(More)
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