MPEG-H 3D Audio is the current standard for the compression of higher-order ambisonics data. It uses singular value decomposition (SVD) to spatially decorrelate higher-order ambisonics data, followed by the modified discrete cosine transform to exploit temporal decorrelation. Prominent and ambient sound components are then separately encoded (e.g., using the standard core audio codec) and sent to the decoder. Significant improvements in bitrate and audio quality have been gained in earlier work over MPEG-H by applying the SVD operation in the frequency domain rather than the ambisonics domain. In this work, we provide additional compression gains by adaptively calculating and extending the set of SVD basis vectors, at negligible increase in side information cost, using information attained from the previously reconstructed frame. Objective and subjective results provide evidence for higher compression gains when compared to existing methods.
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