Directional audio coding (DirAC) provides an efficient description of spatial sound in terms of an audio downmix signal and parametric side information, namely the direction of arrival and diffuseness of sound. The sound scene can be reproduced based on this information with any audio reproduction system such as multichannel playback or binaural rendering. Input to the DirAC analysis are acoustic signals, e.g., captured by a microphone array. The accuracy of the DirAC parameter estimation can suffer from a low signal-to-noise ratio (SNR) and a high temporal variance of the input signals. To handle these problems, this contribution proposes signal adaptive parameter estimators which increase the estimation accuracy by considering the SNR and the stationarity interval of the input. Simulations show that the DirAC analysis is significantly improved.
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