Iterative Joint MAP Single-Channel Speech Enhancement Given Non-uniform Phase Prior

Result of the Month

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Within the last three decades research in single-channel speech enhancement has been mainly focused on filtering the noisy spectral amplitude without that much focus on the integration of phase-based signal processing. Recently, several phase-aware algorithms based on phase-sensitive signal models were proposed for speech enhancement using the minimum mean squared error (MMSE). Improved performance over the conventional phase-insensitive approaches has been achieved. In this paper, we propose an iterative joint maximum a posteriori (MAP) amplitude and phase estimator (ijMAP) assuming a non-uniform phase distribution. Experimental results demonstrate the effectiveness of the proposed method in recovering both amplitude and phase in noise, justified by perceived quality, speech intelligibility and phase estimation error instrumental measures. The proposed method, brings joint improvement in perceived quality and speech intelligibility compared to the phase-blind joint MAP estimator with a comparable performance to the complex MMSE estimator.

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The figure shows barplots evaluating the speech enhancement performance of the proposed method (yellow) versus benchmarks: SG-jMAP (blue) and CUP (green) in terms of PESQ, STOI, complex squared error distortion all averaged over the NOIZEUS database. Results are shown for street, car and train noise scenarios.

For more information read our paper and listen to some audio examples.

1. December 2016 - 31. December 2016