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Scalable Multiband Binaural Renderer for MPEG-H 3D Audio.
- Source :
- IEEE Journal of Selected Topics in Signal Processing; Aug2015, Vol. 9 Issue 5, p907-920, 14p
- Publication Year :
- 2015
-
Abstract
- To provide immersive 3D multimedia service, MPEG has launched MPEG-H, ISO/IEC 23008, “High Efficiency Coding and Media Delivery in Heterogeneous Environments.” As part of the audio, MPEG-H 3D Audio has been standardized based on a multichannel loudspeaker configuration (e.g., 22.2). Binaural rendering is a key application of 3D audio; however, previous studies focus on binaural rendering with low complexity such as IIR filter design for HRTF or pre-/post-processing to solve in-head localization or front-back confusion. In this paper, a new binaural rendering algorithm is proposed to support the large number of input channel signals and provide high-quality in terms of timbre, parts of this algorithm were adopted into the MPEG-H 3D Audio. The proposed algorithm truncates binaural room impulse response at mixing time, the transition point from the early-reflections to the late reverberation part. Each part is processed independently by variable order filtering in frequency domain (VOFF) and parametric late reverberation filtering (PLF), respectively. Further, a QMF domain tapped delay line (QTDL) is proposed to reduce complexity in the high-frequency band, based on human auditory perception and codec characteristics. In the proposed algorithm, a scalability scheme is adopted to cover a wide range of applications by adjusting the threshold of mixing time. Experimental results show that the proposed algorithm is able to provide the audio quality of a binaural rendered signal using full-length binaural room impulse responses. A scalability test also shows that the proposed scalability scheme smoothly compromises between audio quality and computational complexity. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 19324553
- Volume :
- 9
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- IEEE Journal of Selected Topics in Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- 108358294
- Full Text :
- https://doi.org/10.1109/JSTSP.2015.2425799