Single-channel speech presence probability estimation using inter-frame and inter-band correlations

The speech presence probability (SPP) plays an important role in many noise reduction and noise estimation methods. The SPP is commonly computed per time and frequency in the short time Fourier transform (STFT) domain based on the a priori speech absence probability and the a priori and a posteriori signal-to-noise ratios. Due to the STFT as well as the nature of the speech signal, there exists a correlation between subsequent time frames and neighboring frequency bands. In this work, we explicitly take these inter-frame and inter-band correlations into account when computing the SPP. The presented results demonstrate that we can increase the detection accuracy of the SPP estimator by taking a few neighboring time and frequency bins into account.