Johannes Stahl — accepted AI-conference papers

2018

A Simple and Effective Framework for a Priori SNR Estimation

ICASSP 2018accepted

The problem of estimating the a priori signal-to-noise ratio (SNR) for single-channel speech enhancement is addressed. Similar to the decision-directed approach we linearly combine the maximum likelihood estimate of the a priori SNR with an estimate obtained from the previous frame. Based on the har…

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2017

Phase estimation in single-channel speech enhancement using phase invariance constraints

Michael Pirolt, Johannes Stahl, Pejman Mowlaee, Vasili I. Vorobiov, Siarhei Y. Barysenka, Andrew G. Davydov

ICASSP 2017accepted

Phase-aware signal processing has received increasing interest in many speech applications. The success of phase-aware processing depends strongly on the robustness of the clean spectral phase estimates to be obtained from a noisy observation. In this paper, we propose a novel harmonic phase estimat…

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