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Parameter domain loudness estimation in parametric audio object coding

: Paulus, J.


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society; European Association for Speech, Signal and Image Processing -EURASIP-:
26th European Signal Processing Conference, EUSIPCO 2018 : 3-7 September 2018, Roma, Italy
Piscataway, NJ: IEEE, 2018
ISBN: 978-9-0827-9701-5
ISBN: 978-90-827970-0-8
ISBN: 978-1-5386-3736-4
ISBN: 978-90-827970-1-5
European Signal Processing Conference (EUSIPCO) <26, 2018, Roma>
Fraunhofer IIS ()

Parametric audio object coding employs principles of informed source separation for obtaining object reconstructions from the mixture signal used in the transport enabling flexible output signal rendering into output scenes unknown at the encoder. Information of the object level in the rendered output is important for loudness and dynamic range control applications, e.g., in broadcast. This paper proposes a method for estimating the object level in an arbitrary output scene based on the downmix signal level that is then projected through the combined un-mixing and rendering matrix. This avoids explicit reconstruction of the objects only for the level estimation offering computational complexity savings. In the evaluations, the proposed method shows a high estimation accuracy with a root-mean squared error of 0.26 LUFS (loudness units relative to full scale) compared to 3.7 L UFS of the baseline with object reconstructions.