New Enhancements for Improved Image Quality and Channel Separation in the Immersive Sound Field Rendition (ISR) Parametric Multichannel Audio Coding System

Aggrawal HO, Sinha D. New Enhancements for Improved Image Quality and Channel Separation in the Immersive Sound Field Rendition (ISR) Parametric Multichannel Audio Coding System. In: AES Convention 132. Audio Engineering Society; 2012. Paper 8652. Available from: https://aes.org/publications/elibrary-page/?id=16290

@inproceedings{Aggrawal2012_16290,
  author = {Aggrawal, Hari Om and Sinha, Deepen},
  title = {{New Enhancements for Improved Image Quality and Channel Separation in the Immersive Sound Field Rendition (ISR) Parametric Multichannel Audio Coding System}},
  booktitle = {AES Convention 132},
  note = {Paper 8652},
  year = {2012},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16290}
}

TY  - CPAPER
TI  - New Enhancements for Improved Image Quality and Channel Separation in the Immersive Sound Field Rendition (ISR) Parametric Multichannel Audio Coding System
AU  - Aggrawal, Hari Om
AU  - Sinha, Deepen
T2  - AES Convention 132
M1  - Paper 8652
PY  - 2012
DA  - 2012/04/06
UR  - https://aes.org/publications/elibrary-page/?id=16290
PB  - Audio Engineering Society
LA  - en
AB  - Consumer audio applications such as satellite broadcasts, HDTV, multi-channel audio streaming, gaming, and playback systems are highlighting newer challenges in the low-bit-rate parametric multichannel audio coding. This paper describes the continuation of our research related to the Immersive Sound field Rendition (ISR) parametric multichannel encoding system. We focus on the recent enhancements for the surround and center channel generation components of the ISR system. The emphasis being on improving the fidelity and quality of reconstructed 5/5.1-channel audio so that it achieves a level of transparency desirable for high end applications. Furthermore, it is being attempted to improve the robustness of the coding scheme to various difficult signals and listening environments by reducing inter-channel leakage to a minimum. We describe challenging case, various algorithmic improvements to the ISR algorithm to address these and also discuss the subjective impact of these algorithmic improvements.
ER  -